id	sid	tid	token	lemma	pos
work_oavbptqpunch5jy27k3m3zb5yi	1	1	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	1	3	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	4	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	1	5	Coronavirus	Coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	6	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	7	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	8	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	9	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	10	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	1	11	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	1	13	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	15	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	1	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	1	17	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	1	18	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	1	19	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	1	21	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	22	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	1	23	Coronavirus	Coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	25	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	26	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	27	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	28	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	1	29	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	30	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	1	31	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	33	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	1	34	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	1	35	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	1	36	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	1	37	Dina	Dina	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	38	A.	a.	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	39	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	40	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	1	41	Omneya	Omneya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	42	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	43	Electronics	Electronics	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	1	44	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	1	45	Communications	Communications	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	1	46	Engineering	Engineering	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	47	Department	Department	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	48	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	1	49	Arab	Arab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	50	Academy	Academy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	51	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	52	Science	Science	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	53	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	1	54	Technology	Technology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	55	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	1	56	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	1	57	Maritime	Maritime	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	58	Transport	Transport	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	59	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	60	AASTMT	AASTMT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	61	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	62	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	1	63	Alexandria	Alexandria	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	64	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	1	65	Egypt	Egypt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	66	ABSTRACT	ABSTRACT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	67	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	1	68	precise	precise	JJ
work_oavbptqpunch5jy27k3m3zb5yi	1	69	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	1	70	rapid	rapid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	1	71	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	72	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	73	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	1	74	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	75	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	1	76	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	1	77	at	at	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	78	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	1	79	very	very	RB
work_oavbptqpunch5jy27k3m3zb5yi	1	80	primary	primary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	1	81	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	82	helps	help	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	1	83	doctors	doctor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	1	84	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	1	85	manage	manage	VB
work_oavbptqpunch5jy27k3m3zb5yi	1	86	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	1	87	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	1	88	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	1	89	workload	workload	NN
work_oavbptqpunch5jy27k3m3zb5yi	1	90	conditions	condition	NNS
work_oavbptqpunch5jy27k3m3zb5yi	1	91	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	2	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	2	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	2	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	2	4	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	2	5	prevents	prevent	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	2	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	2	7	spread	spread	NN
work_oavbptqpunch5jy27k3m3zb5yi	2	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	2	9	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	2	10	pandemic	pandemic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	2	11	virus	virus	NN
work_oavbptqpunch5jy27k3m3zb5yi	2	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	3	1	Computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	3	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	3	3	aided	aid	VBN
work_oavbptqpunch5jy27k3m3zb5yi	3	4	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	3	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	3	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	3	7	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	3	8	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	3	9	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	3	10	artificial	artificial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	3	11	intelligence	intelligence	NN
work_oavbptqpunch5jy27k3m3zb5yi	3	12	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	3	13	AI	ai	NN
work_oavbptqpunch5jy27k3m3zb5yi	3	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	3	15	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	3	16	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	3	17	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	3	18	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	3	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	3	20	distinguish	distinguish	VB
work_oavbptqpunch5jy27k3m3zb5yi	3	21	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	3	22	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	3	23	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	3	24	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	3	25	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	3	26	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	3	27	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	3	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	3	29	computed	computed	JJ
work_oavbptqpunch5jy27k3m3zb5yi	3	30	tomography	tomography	NN
work_oavbptqpunch5jy27k3m3zb5yi	3	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	3	32	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	3	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	3	34	imaging	imaging	NN
work_oavbptqpunch5jy27k3m3zb5yi	3	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	4	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	4	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	4	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	4	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	4	5	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	4	6	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	4	7	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	4	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	4	9	delivering	deliver	VBG
work_oavbptqpunch5jy27k3m3zb5yi	4	10	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	4	11	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	4	12	faster	fast	RBR
work_oavbptqpunch5jy27k3m3zb5yi	4	13	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	14	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	4	16	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	4	17	consequently	consequently	RB
work_oavbptqpunch5jy27k3m3zb5yi	4	18	saves	save	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	4	19	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	20	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	4	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	4	22	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	23	control	control	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	24	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	4	25	provides	provide	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	4	26	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	4	27	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	4	28	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	29	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	4	30	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	4	31	laboratory	laboratory	NN
work_oavbptqpunch5jy27k3m3zb5yi	4	32	tests	test	NNS
work_oavbptqpunch5jy27k3m3zb5yi	4	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	5	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	5	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	5	3	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	5	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	5	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	5	6	novel	novel	NN
work_oavbptqpunch5jy27k3m3zb5yi	5	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	5	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	5	9	called	call	VBN
work_oavbptqpunch5jy27k3m3zb5yi	5	10	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	5	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	5	12	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	5	13	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	5	14	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	5	15	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	5	16	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	5	17	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	5	18	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	5	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	6	1	Almost	almost	RB
work_oavbptqpunch5jy27k3m3zb5yi	6	2	all	all	PDT
work_oavbptqpunch5jy27k3m3zb5yi	6	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	6	4	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	6	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	6	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	6	7	literature	literature	NN
work_oavbptqpunch5jy27k3m3zb5yi	6	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	6	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	6	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	6	11	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	6	12	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	6	13	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	6	14	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	6	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	6	16	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	6	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	6	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	7	1	Consequently	consequently	RB
work_oavbptqpunch5jy27k3m3zb5yi	7	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	7	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	7	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	7	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	7	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	7	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	8	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	7	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	7	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	7	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	7	12	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	7	14	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	15	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	16	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	7	17	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	7	18	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	7	19	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	7	20	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	21	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	7	22	including	include	VBG
work_oavbptqpunch5jy27k3m3zb5yi	7	23	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	24	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	7	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	7	26	textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	27	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	28	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	7	29	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	30	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	7	31	discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	32	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	33	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	34	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	7	35	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	7	36	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	7	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	7	38	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	7	39	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	7	40	grey	grey	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	41	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	42	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	43	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	44	occurrence	occurrence	JJ
work_oavbptqpunch5jy27k3m3zb5yi	7	45	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	46	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	7	47	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	7	48	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	7	49	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	7	50	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	7	51	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	7	52	previously	previously	RB
work_oavbptqpunch5jy27k3m3zb5yi	7	53	utilized	utilize	VBN
work_oavbptqpunch5jy27k3m3zb5yi	7	54	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	7	55	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	7	56	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	7	57	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	8	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	8	2	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	8	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	8	4	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	8	5	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	8	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	8	7	scan	scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	8	8	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	8	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	8	10	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	8	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	8	12	test	test	VB
work_oavbptqpunch5jy27k3m3zb5yi	8	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	8	14	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	8	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	8	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	8	17	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	8	18	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	8	19	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	8	20	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	8	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	9	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	9	2	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	9	3	show	show	VBP
work_oavbptqpunch5jy27k3m3zb5yi	9	4	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	9	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	9	6	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	9	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	9	8	could	could	MD
work_oavbptqpunch5jy27k3m3zb5yi	9	9	accurately	accurately	RB
work_oavbptqpunch5jy27k3m3zb5yi	9	10	differentiate	differentiate	VB
work_oavbptqpunch5jy27k3m3zb5yi	9	11	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	9	12	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	9	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	9	14	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	9	15	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	9	16	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	9	17	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	9	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	9	19	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	9	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	9	21	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	9	22	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	9	23	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	9	24	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	9	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	9	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	10	1	Additionally	additionally	RB
work_oavbptqpunch5jy27k3m3zb5yi	10	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	10	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	10	4	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	10	5	proved	prove	VBD
work_oavbptqpunch5jy27k3m3zb5yi	10	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	10	7	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	10	8	reliable	reliable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	10	9	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	10	10	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	10	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	11	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	11	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	11	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	11	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	11	5	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	11	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	11	7	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	11	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	11	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	11	10	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	11	11	attained	attain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	11	12	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	11	13	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	11	14	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	11	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	12	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	12	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	12	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	12	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	12	5	diagnostics	diagnostic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	12	6	odds	odd	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	12	7	ratio	ratio	NN
work_oavbptqpunch5jy27k3m3zb5yi	12	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	12	9	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	12	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	12	11	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	12	12	≥	≥	CD
work_oavbptqpunch5jy27k3m3zb5yi	12	13	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	12	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	13	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	13	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	13	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	13	4	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	13	5	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	13	6	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	13	7	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	13	8	recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	13	9	related	relate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	13	10	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	13	11	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	13	12	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	13	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	13	14	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	13	15	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	13	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	14	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	14	2	comparison	comparison	NN
work_oavbptqpunch5jy27k3m3zb5yi	14	3	verifies	verify	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	14	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	14	5	competence	competence	NN
work_oavbptqpunch5jy27k3m3zb5yi	14	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	14	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	14	8	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	14	9	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	14	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	14	11	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	14	12	over	over	IN
work_oavbptqpunch5jy27k3m3zb5yi	14	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	14	14	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	14	15	related	relate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	14	16	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	14	17	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	14	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	15	1	Thus	thus	RB
work_oavbptqpunch5jy27k3m3zb5yi	15	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	15	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	15	4	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	15	5	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	15	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	15	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	15	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	15	9	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	15	10	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	15	11	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	15	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	15	13	real	real	JJ
work_oavbptqpunch5jy27k3m3zb5yi	15	14	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	15	15	scenarios	scenario	NNS
work_oavbptqpunch5jy27k3m3zb5yi	15	16	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	15	17	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	15	18	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	15	19	testing	testing	NN
work_oavbptqpunch5jy27k3m3zb5yi	15	20	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	15	21	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	15	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	15	23	avoiding	avoid	VBG
work_oavbptqpunch5jy27k3m3zb5yi	15	24	human	human	JJ
work_oavbptqpunch5jy27k3m3zb5yi	15	25	misdiagnosis	misdiagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	15	26	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	15	27	might	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	15	28	exist	exist	VB
work_oavbptqpunch5jy27k3m3zb5yi	15	29	due	due	IN
work_oavbptqpunch5jy27k3m3zb5yi	15	30	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	15	31	human	human	JJ
work_oavbptqpunch5jy27k3m3zb5yi	15	32	fatigue	fatigue	NN
work_oavbptqpunch5jy27k3m3zb5yi	15	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	16	1	It	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	16	2	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	16	3	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	16	4	reduce	reduce	VB
work_oavbptqpunch5jy27k3m3zb5yi	16	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	16	6	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	16	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	16	8	exertion	exertion	NN
work_oavbptqpunch5jy27k3m3zb5yi	16	9	made	make	VBN
work_oavbptqpunch5jy27k3m3zb5yi	16	10	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	16	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	16	12	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	16	13	during	during	IN
work_oavbptqpunch5jy27k3m3zb5yi	16	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	16	15	examination	examination	NN
work_oavbptqpunch5jy27k3m3zb5yi	16	16	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	16	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	17	1	Subjects	Subjects	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	2	Artificial	Artificial	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	3	Intelligence	Intelligence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	5	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	6	Aided	Aided	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	7	Design	Design	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	9	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	10	Vision	Vision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	11	Keywords	Keywords	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	17	12	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	17	14	aided	aid	VBN
work_oavbptqpunch5jy27k3m3zb5yi	17	15	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	17	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	20	Convolution	Convolution	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	21	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	22	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	17	23	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	24	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	25	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	27	Coronavirus	Coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	29	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	32	Discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	33	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	34	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	35	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	36	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	37	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	38	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	39	Grey	Grey	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	40	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	41	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	42	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	43	occurrence	occurrence	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	44	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	45	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	46	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	47	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	48	INTRODUCTION	introduction	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	49	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	17	50	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	51	virus	virus	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	52	known	know	VBN
work_oavbptqpunch5jy27k3m3zb5yi	17	53	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	17	54	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	17	55	severe	severe	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	56	acute	acute	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	57	respiratory	respiratory	JJ
work_oavbptqpunch5jy27k3m3zb5yi	17	58	syndrome	syndrome	NN
work_oavbptqpunch5jy27k3m3zb5yi	17	59	coronavirus	coronaviru	NNS
work_oavbptqpunch5jy27k3m3zb5yi	17	60	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	17	61	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	62	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	63	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	17	64	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	65	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	17	66	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	17	67	emerged	emerge	VBN
work_oavbptqpunch5jy27k3m3zb5yi	17	68	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	17	69	December	December	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	70	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	17	71	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	17	72	Wuhan	Wuhan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	73	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	17	74	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	17	75	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	18	1	Patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	18	2	diseased	disease	VBN
work_oavbptqpunch5jy27k3m3zb5yi	18	3	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	18	4	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	18	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	18	6	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	18	7	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	18	8	experience	experience	VB
work_oavbptqpunch5jy27k3m3zb5yi	18	9	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	18	10	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	18	11	condition	condition	NN
work_oavbptqpunch5jy27k3m3zb5yi	18	12	known	know	VBN
work_oavbptqpunch5jy27k3m3zb5yi	18	13	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	18	14	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	18	15	diseases	disease	NNS
work_oavbptqpunch5jy27k3m3zb5yi	18	16	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	18	17	How	how	WRB
work_oavbptqpunch5jy27k3m3zb5yi	18	18	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	18	19	cite	cite	VB
work_oavbptqpunch5jy27k3m3zb5yi	18	20	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	18	21	article	article	NN
work_oavbptqpunch5jy27k3m3zb5yi	18	22	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	18	23	DA	DA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	18	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	18	25	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	18	26	O.	O.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	19	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	19	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	20	1	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	20	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	20	3	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	20	4	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	20	5	Coronavirus	Coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	20	6	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	20	7	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	20	8	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	20	9	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	20	10	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	20	11	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	20	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	20	13	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	20	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	20	15	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	20	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	20	17	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	20	18	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	20	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	21	1	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	21	2	Comput	comput	NN
work_oavbptqpunch5jy27k3m3zb5yi	21	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	22	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	22	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	23	1	6	6	LS
work_oavbptqpunch5jy27k3m3zb5yi	23	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	23	3	e306	e306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	23	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	23	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	10	Submitted	submit	VBN
work_oavbptqpunch5jy27k3m3zb5yi	23	11	31	31	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	12	August	August	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	13	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	14	Accepted	accept	VBD
work_oavbptqpunch5jy27k3m3zb5yi	23	15	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	16	September	September	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	18	Published	publish	VBN
work_oavbptqpunch5jy27k3m3zb5yi	23	19	12	12	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	20	October	October	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	21	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	22	Corresponding	Corresponding	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	23	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	23	24	Dina	Dina	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	25	A.	a.	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	26	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	23	28	dinaragab@aast.edu	dinaragab@aast.edu	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	23	29	Omneya	Omneya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	30	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	23	32	o.attallah@aast.edu	o.attallah@aast.edu	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	23	33	Academic	academic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	23	34	editor	editor	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	35	Robertas	Robertas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	36	Damaševičius	Damaševičius	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	37	Additional	Additional	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	38	Information	Information	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	39	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	23	40	Declarations	declaration	NNS
work_oavbptqpunch5jy27k3m3zb5yi	23	41	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	23	42	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	23	43	found	find	VBN
work_oavbptqpunch5jy27k3m3zb5yi	23	44	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	23	45	page	page	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	46	25	25	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	47	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	48	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	49	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	23	50	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	51	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	23	52	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	53	Copyright	Copyright	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	54	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	55	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	56	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	23	57	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	58	Distributed	distribute	VBN
work_oavbptqpunch5jy27k3m3zb5yi	23	59	under	under	IN
work_oavbptqpunch5jy27k3m3zb5yi	23	60	Creative	Creative	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	61	Commons	Commons	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	62	CC	CC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	63	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	23	64	BY	BY	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	65	4.0	4.0	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	66	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	67	mailto	mailto	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	68	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	23	69	dinaragab@	dinaragab@	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	70	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	71	aast.	aast.	CC
work_oavbptqpunch5jy27k3m3zb5yi	23	72	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	73	edu	edu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	74	mailto	mailto	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	75	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	23	76	o.	o.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	77	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	78	attallah@	attallah@	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	79	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	80	aast.	aast.	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	81	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	82	edu	edu	NN
work_oavbptqpunch5jy27k3m3zb5yi	23	83	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	84	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	85	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	ADD
work_oavbptqpunch5jy27k3m3zb5yi	23	86	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	23	87	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	XX
work_oavbptqpunch5jy27k3m3zb5yi	23	88	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	23	89	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	23	90	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	23	91	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	23	92	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	24	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	24	2	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	24	3	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	24	4	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	24	5	quickly	quickly	RB
work_oavbptqpunch5jy27k3m3zb5yi	24	6	spread	spread	VBN
work_oavbptqpunch5jy27k3m3zb5yi	24	7	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	24	8	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	24	9	zones	zone	NNS
work_oavbptqpunch5jy27k3m3zb5yi	24	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	24	11	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	24	12	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	24	13	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	24	14	countries	country	NNS
work_oavbptqpunch5jy27k3m3zb5yi	24	15	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	24	16	significant	significant	JJ
work_oavbptqpunch5jy27k3m3zb5yi	24	17	morbidity	morbidity	NN
work_oavbptqpunch5jy27k3m3zb5yi	24	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	24	19	mortality	mortality	NN
work_oavbptqpunch5jy27k3m3zb5yi	24	20	rates	rate	NNS
work_oavbptqpunch5jy27k3m3zb5yi	24	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	25	1	On	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	25	2	April	April	NNP
work_oavbptqpunch5jy27k3m3zb5yi	25	3	20	20	CD
work_oavbptqpunch5jy27k3m3zb5yi	25	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	25	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	25	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	25	7	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	25	8	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	25	9	84,000	84,000	CD
work_oavbptqpunch5jy27k3m3zb5yi	25	10	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	25	11	infected	infected	JJ
work_oavbptqpunch5jy27k3m3zb5yi	25	12	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	25	13	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	25	14	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	25	15	verified	verify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	25	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	25	17	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	25	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	25	19	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	25	20	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	25	21	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	25	22	2.3	2.3	CD
work_oavbptqpunch5jy27k3m3zb5yi	25	23	million	million	CD
work_oavbptqpunch5jy27k3m3zb5yi	25	24	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	25	25	worldwide	worldwide	RB
work_oavbptqpunch5jy27k3m3zb5yi	25	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	25	27	Dong	Dong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	25	28	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	25	29	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	25	30	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	25	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	25	32	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	25	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	25	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	26	1	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	26	2	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	26	3	lead	lead	VB
work_oavbptqpunch5jy27k3m3zb5yi	26	4	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	26	5	critical	critical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	26	6	respiratory	respiratory	JJ
work_oavbptqpunch5jy27k3m3zb5yi	26	7	illness	illness	NN
work_oavbptqpunch5jy27k3m3zb5yi	26	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	26	9	acute	acute	JJ
work_oavbptqpunch5jy27k3m3zb5yi	26	10	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	26	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	26	12	numerous	numerous	JJ
work_oavbptqpunch5jy27k3m3zb5yi	26	13	organs	organ	NNS
work_oavbptqpunch5jy27k3m3zb5yi	26	14	failure	failure	NN
work_oavbptqpunch5jy27k3m3zb5yi	26	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	26	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	26	17	even	even	RB
work_oavbptqpunch5jy27k3m3zb5yi	26	18	death	death	NN
work_oavbptqpunch5jy27k3m3zb5yi	26	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	26	20	Cheng	Cheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	26	21	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	26	22	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	26	23	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	26	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	26	25	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	26	26	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	26	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	27	1	For	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	27	3	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	27	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	27	6	early	early	JJ
work_oavbptqpunch5jy27k3m3zb5yi	27	7	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	9	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	27	10	virus	virus	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	11	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	27	12	essential	essential	JJ
work_oavbptqpunch5jy27k3m3zb5yi	27	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	27	14	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	15	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	27	16	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	27	17	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	27	18	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	27	19	primary	primary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	27	20	initial	initial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	27	21	assessment	assessment	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	22	so	so	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	23	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	27	25	succeeding	succeed	VBG
work_oavbptqpunch5jy27k3m3zb5yi	27	26	arrangement	arrangement	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	28	suitable	suitable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	27	29	treatments	treatment	NNS
work_oavbptqpunch5jy27k3m3zb5yi	27	30	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	27	31	follow	follow	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	32	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	27	33	ups	up	NNS
work_oavbptqpunch5jy27k3m3zb5yi	27	34	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	27	35	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	27	36	set	set	VBN
work_oavbptqpunch5jy27k3m3zb5yi	27	37	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	27	38	advance	advance	NN
work_oavbptqpunch5jy27k3m3zb5yi	27	39	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	28	1	Pandemic	Pandemic	NNP
work_oavbptqpunch5jy27k3m3zb5yi	28	2	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	28	3	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	28	4	led	lead	VBN
work_oavbptqpunch5jy27k3m3zb5yi	28	5	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	28	6	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	28	7	rapid	rapid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	28	8	increase	increase	NN
work_oavbptqpunch5jy27k3m3zb5yi	28	9	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	28	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	28	11	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	28	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	28	13	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	28	14	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	28	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	29	1	Consequently	consequently	RB
work_oavbptqpunch5jy27k3m3zb5yi	29	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	29	3	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	29	4	overload	overload	NN
work_oavbptqpunch5jy27k3m3zb5yi	29	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	29	6	hospital	hospital	NN
work_oavbptqpunch5jy27k3m3zb5yi	29	7	capacity	capacity	NN
work_oavbptqpunch5jy27k3m3zb5yi	29	8	occurred	occur	VBD
work_oavbptqpunch5jy27k3m3zb5yi	29	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	29	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	29	11	healthcare	healthcare	NN
work_oavbptqpunch5jy27k3m3zb5yi	29	12	management	management	NN
work_oavbptqpunch5jy27k3m3zb5yi	29	13	became	become	VBD
work_oavbptqpunch5jy27k3m3zb5yi	29	14	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	29	15	difficult	difficult	JJ
work_oavbptqpunch5jy27k3m3zb5yi	29	16	task	task	NN
work_oavbptqpunch5jy27k3m3zb5yi	29	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	29	18	Wu	Wu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	19	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	20	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	21	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	29	23	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	29	24	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	29	25	Paules	Paules	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	29	27	Marston	Marston	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	28	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	29	29	Fauci	Fauci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	29	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	29	31	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	29	32	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	29	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	30	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	30	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	30	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	30	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	30	5	doctors	doctor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	30	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	30	7	nurses	nurse	NNS
work_oavbptqpunch5jy27k3m3zb5yi	30	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	30	9	at	at	IN
work_oavbptqpunch5jy27k3m3zb5yi	30	10	risk	risk	NN
work_oavbptqpunch5jy27k3m3zb5yi	30	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	30	12	being	be	VBG
work_oavbptqpunch5jy27k3m3zb5yi	30	13	infected	infect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	30	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	30	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	30	16	thus	thus	RB
work_oavbptqpunch5jy27k3m3zb5yi	30	17	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	30	18	will	will	MD
work_oavbptqpunch5jy27k3m3zb5yi	30	19	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	30	20	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	30	21	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	30	22	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	30	23	helping	help	VBG
work_oavbptqpunch5jy27k3m3zb5yi	30	24	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	30	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	30	26	managing	manage	VBG
work_oavbptqpunch5jy27k3m3zb5yi	30	27	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	30	28	jobs	job	NNS
work_oavbptqpunch5jy27k3m3zb5yi	30	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	30	30	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	30	31	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	30	32	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	30	33	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	30	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	30	35	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	30	36	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	30	37	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	31	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	31	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	31	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	31	4	rapid	rapid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	31	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	31	6	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	31	7	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	31	8	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	31	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	31	10	crucial	crucial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	31	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	31	12	help	help	VB
work_oavbptqpunch5jy27k3m3zb5yi	31	13	doctors	doctor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	31	14	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	31	15	managing	manage	VBG
work_oavbptqpunch5jy27k3m3zb5yi	31	16	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	31	17	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	31	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	32	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	32	2	standard	standard	JJ
work_oavbptqpunch5jy27k3m3zb5yi	32	3	way	way	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	32	5	screening	screening	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	6	infected	infected	JJ
work_oavbptqpunch5jy27k3m3zb5yi	32	7	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	32	8	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	32	9	known	know	VBN
work_oavbptqpunch5jy27k3m3zb5yi	32	10	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	32	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	32	12	reverse	reverse	JJ
work_oavbptqpunch5jy27k3m3zb5yi	32	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	32	14	transcription	transcription	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	15	polymerase	polymerase	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	16	chain	chain	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	17	reaction	reaction	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	32	19	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	32	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	32	21	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	32	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	32	23	testing	testing	NN
work_oavbptqpunch5jy27k3m3zb5yi	32	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	32	25	Dong	Dong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	32	26	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	32	27	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	32	28	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	32	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	32	30	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	32	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	32	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	33	1	Although	although	IN
work_oavbptqpunch5jy27k3m3zb5yi	33	2	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	33	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	33	4	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	33	5	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	33	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	33	7	common	common	JJ
work_oavbptqpunch5jy27k3m3zb5yi	33	8	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	33	9	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	33	10	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	33	11	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	33	12	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	33	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	33	14	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	33	15	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	33	16	some	some	DT
work_oavbptqpunch5jy27k3m3zb5yi	33	17	limitations	limitation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	33	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	34	1	First	first	RB
work_oavbptqpunch5jy27k3m3zb5yi	34	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	34	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	34	4	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	34	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	34	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	34	7	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	34	9	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	10	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	34	11	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	34	12	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	34	13	quite	quite	RB
work_oavbptqpunch5jy27k3m3zb5yi	34	14	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	34	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	34	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	34	17	therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	34	18	COVID-19	COVID-19	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	34	19	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	34	20	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	34	21	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	34	22	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	34	23	completely	completely	RB
work_oavbptqpunch5jy27k3m3zb5yi	34	24	omitted	omit	VBN
work_oavbptqpunch5jy27k3m3zb5yi	34	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	34	26	despite	despite	IN
work_oavbptqpunch5jy27k3m3zb5yi	34	27	if	if	IN
work_oavbptqpunch5jy27k3m3zb5yi	34	28	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	29	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	34	30	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	31	outcomes	outcome	NNS
work_oavbptqpunch5jy27k3m3zb5yi	34	32	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	34	33	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	34	34	suspected	suspect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	34	35	case	case	NN
work_oavbptqpunch5jy27k3m3zb5yi	34	36	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	34	37	negative	negative	JJ
work_oavbptqpunch5jy27k3m3zb5yi	34	38	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	34	39	Ai	Ai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	40	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	34	41	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	42	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	34	43	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	34	44	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	34	45	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	34	46	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	35	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	35	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	35	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	35	4	inadequate	inadequate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	35	5	quantity	quantity	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	35	7	firm	firm	JJ
work_oavbptqpunch5jy27k3m3zb5yi	35	8	necessities	necessity	NNS
work_oavbptqpunch5jy27k3m3zb5yi	35	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	35	10	laboratory	laboratory	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	11	settings	setting	NNS
work_oavbptqpunch5jy27k3m3zb5yi	35	12	would	would	MD
work_oavbptqpunch5jy27k3m3zb5yi	35	13	critically	critically	RB
work_oavbptqpunch5jy27k3m3zb5yi	35	14	postpone	postpone	VB
work_oavbptqpunch5jy27k3m3zb5yi	35	15	precise	precise	JJ
work_oavbptqpunch5jy27k3m3zb5yi	35	16	identification	identification	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	35	18	suspected	suspect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	35	19	individuals	individual	NNS
work_oavbptqpunch5jy27k3m3zb5yi	35	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	35	21	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	35	22	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	35	23	modeled	model	VBN
work_oavbptqpunch5jy27k3m3zb5yi	35	24	extraordinary	extraordinary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	35	25	challenges	challenge	NNS
work_oavbptqpunch5jy27k3m3zb5yi	35	26	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	35	27	avoid	avoid	VB
work_oavbptqpunch5jy27k3m3zb5yi	35	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	35	29	propagation	propagation	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	30	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	35	31	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	35	32	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	33	worldwide	worldwide	RB
work_oavbptqpunch5jy27k3m3zb5yi	35	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	35	35	specifically	specifically	RB
work_oavbptqpunch5jy27k3m3zb5yi	35	36	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	35	37	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	35	38	middle	middle	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	39	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	35	40	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	35	41	epidemic	epidemic	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	42	region	region	NN
work_oavbptqpunch5jy27k3m3zb5yi	35	43	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	35	44	Xie	Xie	NNP
work_oavbptqpunch5jy27k3m3zb5yi	35	45	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	35	46	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	35	47	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	35	48	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	35	49	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	35	50	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	35	51	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	36	1	Thus	thus	RB
work_oavbptqpunch5jy27k3m3zb5yi	36	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	36	3	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	36	4	imaging	imaging	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	36	6	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	36	7	specific	specific	JJ
work_oavbptqpunch5jy27k3m3zb5yi	36	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	36	9	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	36	11	computed	compute	VBN
work_oavbptqpunch5jy27k3m3zb5yi	36	12	tomography	tomography	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	36	14	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	36	15	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	36	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	36	17	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	36	18	preferred	prefer	VBN
work_oavbptqpunch5jy27k3m3zb5yi	36	19	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	36	20	another	another	DT
work_oavbptqpunch5jy27k3m3zb5yi	36	21	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	22	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	36	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	36	24	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	36	26	management	management	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	36	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	36	29	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	36	30	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	36	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	37	1	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	37	2	offers	offer	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	37	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	37	4	faster	fast	JJR
work_oavbptqpunch5jy27k3m3zb5yi	37	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	37	6	simpler	simple	JJR
work_oavbptqpunch5jy27k3m3zb5yi	37	7	solution	solution	NN
work_oavbptqpunch5jy27k3m3zb5yi	37	8	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	37	9	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	37	10	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	37	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	37	12	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	37	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	38	1	It	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	38	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	38	3	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	38	4	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	38	5	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	38	6	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	38	7	observing	observe	VBG
work_oavbptqpunch5jy27k3m3zb5yi	38	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	38	9	disease	disease	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	10	progression	progression	NN
work_oavbptqpunch5jy27k3m3zb5yi	38	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	38	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	38	13	assessment	assessment	NN
work_oavbptqpunch5jy27k3m3zb5yi	38	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	38	15	treatment	treatment	NN
work_oavbptqpunch5jy27k3m3zb5yi	38	16	efficiency	efficiency	NN
work_oavbptqpunch5jy27k3m3zb5yi	38	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	38	18	Iwasawa	Iwasawa	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	19	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	38	20	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	21	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	38	23	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	38	24	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	38	25	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	26	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	38	27	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	28	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	38	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	38	30	2017a	2017a	CD
work_oavbptqpunch5jy27k3m3zb5yi	38	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	38	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	39	1	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	39	3	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	39	4	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	39	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	39	6	main	main	JJ
work_oavbptqpunch5jy27k3m3zb5yi	39	7	element	element	NN
work_oavbptqpunch5jy27k3m3zb5yi	39	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	39	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	39	10	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	39	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	39	12	treatment	treatment	NN
work_oavbptqpunch5jy27k3m3zb5yi	39	13	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	39	14	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	39	15	suspected	suspect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	39	16	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	39	17	due	due	JJ
work_oavbptqpunch5jy27k3m3zb5yi	39	18	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	39	19	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	39	20	manifestations	manifestation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	39	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	39	22	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	39	23	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	39	24	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	39	25	reported	report	VBN
work_oavbptqpunch5jy27k3m3zb5yi	39	26	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	39	27	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	39	28	recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	39	29	articles	article	NNS
work_oavbptqpunch5jy27k3m3zb5yi	39	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	39	31	Lei	Lei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	32	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	39	33	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	34	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	35	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	39	36	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	39	37	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	39	38	Chung	Chung	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	39	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	40	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	41	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	42	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	39	43	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	39	44	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	39	45	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	46	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	39	47	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	48	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	39	49	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	39	50	2020a	2020a	CD
work_oavbptqpunch5jy27k3m3zb5yi	39	51	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	39	52	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	40	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	40	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	40	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	40	4	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	40	5	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	40	6	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	40	7	alone	alone	RB
work_oavbptqpunch5jy27k3m3zb5yi	40	8	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	40	10	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	40	11	due	due	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	12	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	40	14	overlap	overlap	NN
work_oavbptqpunch5jy27k3m3zb5yi	40	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	40	17	appearance	appearance	NN
work_oavbptqpunch5jy27k3m3zb5yi	40	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	19	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	40	20	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	21	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	40	22	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	40	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	40	24	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	40	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	40	26	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	40	27	challenges	challenge	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	40	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	40	29	examination	examination	NN
work_oavbptqpunch5jy27k3m3zb5yi	40	30	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	40	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	40	32	Shi	Shi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	40	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	40	34	Han	Han	NNP
work_oavbptqpunch5jy27k3m3zb5yi	40	35	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	40	36	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	40	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	40	38	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	40	39	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	40	40	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	41	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	41	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	41	3	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	41	4	examination	examination	NN
work_oavbptqpunch5jy27k3m3zb5yi	41	5	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	41	6	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	41	7	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	41	8	needs	need	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	41	9	lots	lot	NNS
work_oavbptqpunch5jy27k3m3zb5yi	41	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	41	11	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	41	12	employment	employment	NN
work_oavbptqpunch5jy27k3m3zb5yi	41	13	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	41	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	41	15	consuming	consume	VBG
work_oavbptqpunch5jy27k3m3zb5yi	41	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	42	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	42	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	42	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	42	4	health	health	NN
work_oavbptqpunch5jy27k3m3zb5yi	42	5	industry	industry	NN
work_oavbptqpunch5jy27k3m3zb5yi	42	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	42	7	considering	consider	VBG
work_oavbptqpunch5jy27k3m3zb5yi	42	8	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	42	9	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	42	10	technologies	technology	NNS
work_oavbptqpunch5jy27k3m3zb5yi	42	11	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	42	12	screen	screen	VB
work_oavbptqpunch5jy27k3m3zb5yi	42	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	42	14	control	control	VB
work_oavbptqpunch5jy27k3m3zb5yi	42	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	42	16	spread	spread	NN
work_oavbptqpunch5jy27k3m3zb5yi	42	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	42	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	42	19	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	42	20	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	42	21	pandemic	pandemic	NN
work_oavbptqpunch5jy27k3m3zb5yi	42	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	43	1	Artificial	artificial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	43	2	intelligence	intelligence	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	43	4	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	43	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	43	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	43	7	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	43	8	example	example	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	43	10	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	43	11	technologies	technology	NNS
work_oavbptqpunch5jy27k3m3zb5yi	43	12	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	43	13	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	43	14	tackle	tackle	VB
work_oavbptqpunch5jy27k3m3zb5yi	43	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	43	16	propagation	propagation	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	43	18	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	43	19	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	43	21	recognize	recognize	VB
work_oavbptqpunch5jy27k3m3zb5yi	43	22	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	43	23	at	at	IN
work_oavbptqpunch5jy27k3m3zb5yi	43	24	risk	risk	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	43	26	control	control	VB
work_oavbptqpunch5jy27k3m3zb5yi	43	27	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	43	28	virus	virus	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	29	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	43	30	real	real	JJ
work_oavbptqpunch5jy27k3m3zb5yi	43	31	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	43	32	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	43	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	43	34	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	43	35	automatically	automatically	RB
work_oavbptqpunch5jy27k3m3zb5yi	43	36	detect	detect	VB
work_oavbptqpunch5jy27k3m3zb5yi	43	37	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	43	38	diagnose	diagnose	VBP
work_oavbptqpunch5jy27k3m3zb5yi	43	39	suspected	suspect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	43	40	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	43	41	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	43	42	Vaishya	Vaishya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	43	43	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	43	44	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	43	45	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	43	46	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	43	47	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	43	48	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	43	49	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	44	1	Machine	machine	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	44	4	ML	ML	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	44	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	44	7	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	44	8	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	44	10	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	44	12	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	44	13	classes	class	NNS
work_oavbptqpunch5jy27k3m3zb5yi	44	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	44	15	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	44	17	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	44	18	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	44	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	44	20	potential	potential	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	21	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	44	22	enhance	enhance	VB
work_oavbptqpunch5jy27k3m3zb5yi	44	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	44	24	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	44	26	treatment	treatment	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	27	planning	planning	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	44	29	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	44	30	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	44	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	44	32	being	be	VBG
work_oavbptqpunch5jy27k3m3zb5yi	44	33	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	44	34	evidence	evidence	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	35	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	44	36	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	44	37	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	44	38	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	44	39	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	44	40	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	41	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	44	42	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	43	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	44	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	44	45	2017b	2017b	CD
work_oavbptqpunch5jy27k3m3zb5yi	44	46	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	44	47	2017a	2017a	CD
work_oavbptqpunch5jy27k3m3zb5yi	44	48	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	44	49	Karthikesalingam	Karthikesalingam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	50	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	44	51	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	52	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	44	53	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	44	54	2015	2015	CD
work_oavbptqpunch5jy27k3m3zb5yi	44	55	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	44	56	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	45	1	Computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	45	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	45	3	aided	aid	VBN
work_oavbptqpunch5jy27k3m3zb5yi	45	4	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	45	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	45	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	7	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	45	8	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	45	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	45	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	45	11	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	12	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	45	13	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	45	14	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	45	15	ML	ML	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	45	17	specifically	specifically	RB
work_oavbptqpunch5jy27k3m3zb5yi	45	18	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	19	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	45	20	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	45	21	described	describe	VBN
work_oavbptqpunch5jy27k3m3zb5yi	45	22	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	45	23	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	45	24	effective	effective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	45	25	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	45	26	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	45	27	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	45	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	45	29	detect	detect	VB
work_oavbptqpunch5jy27k3m3zb5yi	45	30	numerous	numerous	JJ
work_oavbptqpunch5jy27k3m3zb5yi	45	31	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	32	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	45	33	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	34	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	45	35	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	45	36	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	45	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	45	38	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	39	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	45	40	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	46	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	46	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	46	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	10	2/30	2/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	NNS
work_oavbptqpunch5jy27k3m3zb5yi	46	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_oavbptqpunch5jy27k3m3zb5yi	46	13	diseases	disease	NNS
work_oavbptqpunch5jy27k3m3zb5yi	46	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	46	15	abnormalities	abnormality	NNS
work_oavbptqpunch5jy27k3m3zb5yi	46	16	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	46	17	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	46	18	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	46	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	46	20	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	22	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	23	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	46	24	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	26	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	27	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	46	28	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	30	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	31	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	46	32	Gadelkarim	Gadelkarim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	34	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	35	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	46	36	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	37	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	38	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	39	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	41	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	42	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	46	43	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	44	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	45	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	46	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	46	47	Gadelkarim	Gadelkarim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	48	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	49	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	50	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	46	51	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	52	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	53	Gadelkarim	Gadelkarim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	54	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	46	55	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	46	56	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	46	57	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	46	58	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	46	59	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	47	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	47	2	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	47	3	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	47	4	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	47	5	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	47	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	47	7	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	47	8	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	47	9	lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	47	10	diseases	disease	NNS
work_oavbptqpunch5jy27k3m3zb5yi	47	11	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	47	12	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	47	13	tuberculosis	tuberculosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	47	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	47	15	Ke	Ke	NNP
work_oavbptqpunch5jy27k3m3zb5yi	47	16	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	47	17	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	47	18	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	47	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	47	20	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	47	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	47	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	48	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	48	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	48	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	48	4	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	48	5	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	48	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	48	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	49	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	49	2	2019b	2019b	LS
work_oavbptqpunch5jy27k3m3zb5yi	49	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	49	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	49	5	Capizzi	Capizzi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	49	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	49	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	49	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	50	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	50	2	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	50	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	50	4	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	50	5	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	50	6	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	50	7	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	50	8	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	50	9	lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	50	10	nodule	nodule	NN
work_oavbptqpunch5jy27k3m3zb5yi	50	11	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	50	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	51	1	Recently	recently	RB
work_oavbptqpunch5jy27k3m3zb5yi	51	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	51	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	51	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	51	5	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	51	6	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	51	7	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	51	8	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	51	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	51	10	diagnosing	diagnose	VBG
work_oavbptqpunch5jy27k3m3zb5yi	51	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	51	12	identifying	identify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	51	13	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	51	14	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	51	15	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	51	16	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	51	17	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	51	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	51	19	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	51	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	52	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	52	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	52	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	52	4	Wieczorek	Wieczorek	NNP
work_oavbptqpunch5jy27k3m3zb5yi	52	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	52	6	Silka	Silka	NNP
work_oavbptqpunch5jy27k3m3zb5yi	52	7	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	52	8	Woźniak	Woźniak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	52	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	52	10	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	52	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	52	12	employed	employ	VBD
work_oavbptqpunch5jy27k3m3zb5yi	52	13	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	52	14	multicenter	multicenter	JJ
work_oavbptqpunch5jy27k3m3zb5yi	52	15	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	52	16	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	52	17	combines	combine	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	52	18	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	52	19	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	52	20	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	52	21	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	52	22	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	52	23	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	52	24	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	52	25	countries	country	NNS
work_oavbptqpunch5jy27k3m3zb5yi	52	26	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	52	27	deliver	deliver	VB
work_oavbptqpunch5jy27k3m3zb5yi	52	28	probably	probably	RB
work_oavbptqpunch5jy27k3m3zb5yi	52	29	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	52	30	wide	wide	JJ
work_oavbptqpunch5jy27k3m3zb5yi	52	31	range	range	NN
work_oavbptqpunch5jy27k3m3zb5yi	52	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	52	33	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	52	34	about	about	IN
work_oavbptqpunch5jy27k3m3zb5yi	52	35	predicted	predict	VBN
work_oavbptqpunch5jy27k3m3zb5yi	52	36	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	52	37	spread	spread	NN
work_oavbptqpunch5jy27k3m3zb5yi	52	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	53	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	53	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	53	3	constructed	construct	VBD
work_oavbptqpunch5jy27k3m3zb5yi	53	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	53	5	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	53	6	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	53	7	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	53	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	53	9	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	53	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	53	11	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	53	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	53	13	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	53	14	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	53	15	consists	consist	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	53	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	53	17	seven	seven	CD
work_oavbptqpunch5jy27k3m3zb5yi	53	18	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	53	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	54	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	54	2	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	54	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	54	4	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	54	5	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	54	6	NAdam	NAdam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	54	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	54	8	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	54	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	54	10	selected	select	VBN
work_oavbptqpunch5jy27k3m3zb5yi	54	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	54	12	tests	test	NNS
work_oavbptqpunch5jy27k3m3zb5yi	54	13	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	54	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	54	15	greatest	great	JJS
work_oavbptqpunch5jy27k3m3zb5yi	54	16	effectiveness	effectiveness	NN
work_oavbptqpunch5jy27k3m3zb5yi	54	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	54	18	shortest	short	JJS
work_oavbptqpunch5jy27k3m3zb5yi	54	19	training	training	NN
work_oavbptqpunch5jy27k3m3zb5yi	54	20	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	54	21	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	54	22	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	54	23	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	54	24	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	54	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	54	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	55	1	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	55	2	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	55	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	55	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	56	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	56	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	56	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	56	4	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	56	5	UNet++	UNet++	NNP
work_oavbptqpunch5jy27k3m3zb5yi	56	6	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	56	7	segment	segment	NN
work_oavbptqpunch5jy27k3m3zb5yi	56	8	lesions	lesion	NNS
work_oavbptqpunch5jy27k3m3zb5yi	56	9	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	56	10	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	56	11	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	56	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	57	1	Afterward	afterward	RB
work_oavbptqpunch5jy27k3m3zb5yi	57	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	57	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	57	4	bounding	bounding	NN
work_oavbptqpunch5jy27k3m3zb5yi	57	5	box	box	NN
work_oavbptqpunch5jy27k3m3zb5yi	57	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	57	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	57	8	segmented	segmented	JJ
work_oavbptqpunch5jy27k3m3zb5yi	57	9	lesion	lesion	NN
work_oavbptqpunch5jy27k3m3zb5yi	57	10	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	57	11	generated	generate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	57	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	58	1	Finally	finally	RB
work_oavbptqpunch5jy27k3m3zb5yi	58	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	58	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	58	4	3D	3d	NN
work_oavbptqpunch5jy27k3m3zb5yi	58	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	58	6	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	58	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	58	8	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	58	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	58	10	predicting	predict	VBG
work_oavbptqpunch5jy27k3m3zb5yi	58	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	58	12	probability	probability	NN
work_oavbptqpunch5jy27k3m3zb5yi	58	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	58	14	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	58	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	59	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	59	2	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	59	3	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	4	reached	reach	VBD
work_oavbptqpunch5jy27k3m3zb5yi	59	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	59	6	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	59	8	90.7	90.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	59	9	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	59	11	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	59	12	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	59	14	91.1	91.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	59	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	59	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	59	18	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	59	19	area	area	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	20	under	under	IN
work_oavbptqpunch5jy27k3m3zb5yi	59	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	59	22	receiver	receiver	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	23	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	59	24	operating	operate	VBG
work_oavbptqpunch5jy27k3m3zb5yi	59	25	curve	curve	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	59	27	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	59	28	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	59	29	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	59	30	0.959	0.959	CD
work_oavbptqpunch5jy27k3m3zb5yi	59	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	59	32	95.9	95.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	59	33	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	59	34	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	59	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	60	1	There	there	EX
work_oavbptqpunch5jy27k3m3zb5yi	60	2	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	60	3	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	60	4	limitations	limitation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	60	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	60	6	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	60	7	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	60	8	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	60	9	first	first	RB
work_oavbptqpunch5jy27k3m3zb5yi	60	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	60	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	60	12	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	60	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	60	14	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	60	15	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	60	16	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	60	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	61	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	61	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	61	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	61	4	UNet++	UNet++	NNP
work_oavbptqpunch5jy27k3m3zb5yi	61	5	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	61	6	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	61	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	61	8	segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	61	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	61	10	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	61	11	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	61	12	result	result	VB
work_oavbptqpunch5jy27k3m3zb5yi	61	13	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	61	14	segmenting	segment	VBG
work_oavbptqpunch5jy27k3m3zb5yi	61	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	61	16	infection	infection	NN
work_oavbptqpunch5jy27k3m3zb5yi	61	17	areas	area	NNS
work_oavbptqpunch5jy27k3m3zb5yi	61	18	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	61	19	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	61	20	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	61	21	blood	blood	NN
work_oavbptqpunch5jy27k3m3zb5yi	61	22	vessels	vessel	NNS
work_oavbptqpunch5jy27k3m3zb5yi	61	23	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	61	24	reduce	reduce	VBP
work_oavbptqpunch5jy27k3m3zb5yi	61	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	61	26	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	61	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	61	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	61	29	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	61	30	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	61	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	62	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	62	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	62	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	62	4	Fang	Fang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	62	5	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	62	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	62	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	63	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	63	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	63	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	63	4	applied	apply	VBD
work_oavbptqpunch5jy27k3m3zb5yi	63	5	radiomics	radiomic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	63	6	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	63	7	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	63	8	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	63	9	manually	manually	RB
work_oavbptqpunch5jy27k3m3zb5yi	63	10	delineated	delineate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	63	11	region	region	NN
work_oavbptqpunch5jy27k3m3zb5yi	63	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	63	13	interest	interest	NN
work_oavbptqpunch5jy27k3m3zb5yi	63	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	63	15	ROI	ROI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	63	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	63	17	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	63	18	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	63	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	63	20	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	63	21	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	63	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	64	1	Afterward	afterward	RB
work_oavbptqpunch5jy27k3m3zb5yi	64	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	64	3	unsupervised	unsupervise	VBD
work_oavbptqpunch5jy27k3m3zb5yi	64	4	consensus	consensus	NN
work_oavbptqpunch5jy27k3m3zb5yi	64	5	clustering	clustering	NN
work_oavbptqpunch5jy27k3m3zb5yi	64	6	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	64	7	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	64	8	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	64	9	choose	choose	VB
work_oavbptqpunch5jy27k3m3zb5yi	64	10	significant	significant	JJ
work_oavbptqpunch5jy27k3m3zb5yi	64	11	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	64	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	65	1	Finally	finally	RB
work_oavbptqpunch5jy27k3m3zb5yi	65	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	65	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	65	4	support	support	NN
work_oavbptqpunch5jy27k3m3zb5yi	65	5	vector	vector	NN
work_oavbptqpunch5jy27k3m3zb5yi	65	6	machine	machine	NN
work_oavbptqpunch5jy27k3m3zb5yi	65	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	65	8	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	65	9	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	65	10	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	65	11	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	65	12	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	65	13	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	65	14	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	65	15	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	65	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	66	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	66	2	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	66	3	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	66	4	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	66	5	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	66	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	66	7	0.826	0.826	CD
work_oavbptqpunch5jy27k3m3zb5yi	66	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	66	9	82.6	82.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	66	10	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	66	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	66	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	67	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	67	2	benefit	benefit	NN
work_oavbptqpunch5jy27k3m3zb5yi	67	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	67	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	67	5	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	67	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	67	7	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	67	8	radiomics	radiomic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	67	9	quantitative	quantitative	JJ
work_oavbptqpunch5jy27k3m3zb5yi	67	10	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	67	11	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	67	12	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	67	13	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	67	14	extractor	extractor	NN
work_oavbptqpunch5jy27k3m3zb5yi	67	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	67	16	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	67	17	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	67	18	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	67	19	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	67	20	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	67	21	powerful	powerful	JJ
work_oavbptqpunch5jy27k3m3zb5yi	67	22	extractor	extractor	NN
work_oavbptqpunch5jy27k3m3zb5yi	67	23	along	along	IN
work_oavbptqpunch5jy27k3m3zb5yi	67	24	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	67	25	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	67	26	domains	domain	NNS
work_oavbptqpunch5jy27k3m3zb5yi	67	27	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	67	28	Lambin	Lambin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	67	29	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	67	30	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	67	31	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	67	32	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	67	33	2012	2012	CD
work_oavbptqpunch5jy27k3m3zb5yi	67	34	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	67	35	Kolossváry	Kolossváry	NNP
work_oavbptqpunch5jy27k3m3zb5yi	67	36	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	67	37	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	67	38	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	67	39	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	67	40	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	67	41	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	67	42	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	68	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	68	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	68	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	68	4	main	main	JJ
work_oavbptqpunch5jy27k3m3zb5yi	68	5	drawback	drawback	NN
work_oavbptqpunch5jy27k3m3zb5yi	68	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	68	7	Fang	Fang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	68	8	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	68	9	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	68	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	69	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	69	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	69	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	69	4	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	69	5	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	69	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	69	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	69	8	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	69	9	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	69	10	only	only	RB
work_oavbptqpunch5jy27k3m3zb5yi	69	11	handcrafted	handcraft	VBD
work_oavbptqpunch5jy27k3m3zb5yi	69	12	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	69	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	69	14	discarded	discard	VBD
work_oavbptqpunch5jy27k3m3zb5yi	69	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	69	16	advantages	advantage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	69	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	69	18	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	69	19	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	69	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	69	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	69	22	therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	69	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	69	24	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	69	25	did	do	VBD
work_oavbptqpunch5jy27k3m3zb5yi	69	26	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	69	27	attain	attain	VB
work_oavbptqpunch5jy27k3m3zb5yi	69	28	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	69	29	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	69	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	70	1	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	70	2	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	70	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	70	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	71	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	71	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	71	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	71	4	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	71	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	71	6	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	71	7	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	71	8	depends	depend	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	71	9	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	71	10	ResNet-50	resnet-50	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	71	11	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	71	12	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	71	13	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	71	14	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	71	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	72	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	72	2	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	72	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	72	4	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	72	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	72	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	72	7	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	72	8	produced	produce	VBN
work_oavbptqpunch5jy27k3m3zb5yi	72	9	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	72	10	87	87	CD
work_oavbptqpunch5jy27k3m3zb5yi	72	11	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	72	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	72	13	92	92	CD
work_oavbptqpunch5jy27k3m3zb5yi	72	14	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	72	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	72	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	72	17	0.95	0.95	CD
work_oavbptqpunch5jy27k3m3zb5yi	72	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	72	19	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	72	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	72	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	72	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	72	23	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	72	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	73	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	73	2	privilege	privilege	NN
work_oavbptqpunch5jy27k3m3zb5yi	73	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	73	4	such	such	PDT
work_oavbptqpunch5jy27k3m3zb5yi	73	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	73	6	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	73	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	73	8	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	73	9	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	73	10	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	73	11	large	large	JJ
work_oavbptqpunch5jy27k3m3zb5yi	73	12	amount	amount	NN
work_oavbptqpunch5jy27k3m3zb5yi	73	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	73	14	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	73	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	74	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	74	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	74	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	74	4	utilized	utilize	VBD
work_oavbptqpunch5jy27k3m3zb5yi	74	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	74	6	heatmap	heatmap	NN
work_oavbptqpunch5jy27k3m3zb5yi	74	7	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	74	8	picture	picture	VB
work_oavbptqpunch5jy27k3m3zb5yi	74	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	74	10	important	important	JJ
work_oavbptqpunch5jy27k3m3zb5yi	74	11	areas	area	NNS
work_oavbptqpunch5jy27k3m3zb5yi	74	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	74	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	74	14	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	74	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	74	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	74	17	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	74	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	75	1	Nevertheless	nevertheless	RB
work_oavbptqpunch5jy27k3m3zb5yi	75	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	75	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	75	4	heatmaps	heatmap	NNS
work_oavbptqpunch5jy27k3m3zb5yi	75	5	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	75	6	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	75	7	yet	yet	RB
work_oavbptqpunch5jy27k3m3zb5yi	75	8	sufficient	sufficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	75	9	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	75	10	capture	capture	VB
work_oavbptqpunch5jy27k3m3zb5yi	75	11	what	what	WDT
work_oavbptqpunch5jy27k3m3zb5yi	75	12	distinctive	distinctive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	75	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	75	14	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	75	15	utilized	utilize	VBN
work_oavbptqpunch5jy27k3m3zb5yi	75	16	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	75	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	75	18	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	75	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	75	20	differentiate	differentiate	VB
work_oavbptqpunch5jy27k3m3zb5yi	75	21	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	75	22	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	75	23	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	75	24	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	75	25	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	75	26	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	75	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	76	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	76	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	76	3	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	76	4	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	76	5	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	76	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	77	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	77	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	77	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	77	4	compare	compare	VB
work_oavbptqpunch5jy27k3m3zb5yi	77	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	77	6	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	77	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	77	8	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	77	9	popular	popular	JJ
work_oavbptqpunch5jy27k3m3zb5yi	77	10	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	77	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	77	12	differentiate	differentiate	VB
work_oavbptqpunch5jy27k3m3zb5yi	77	13	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	77	14	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	77	15	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	77	16	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	77	17	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	77	18	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	77	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	78	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	78	2	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	78	3	showed	show	VBD
work_oavbptqpunch5jy27k3m3zb5yi	78	4	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	78	5	ResNet-101	resnet-101	NN
work_oavbptqpunch5jy27k3m3zb5yi	78	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	78	7	Xception	Xception	NNP
work_oavbptqpunch5jy27k3m3zb5yi	78	8	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	78	9	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	78	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	78	11	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	78	12	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	78	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	79	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	79	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	4	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	6	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	79	9	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	10	obtained	obtain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	79	11	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	79	12	ResNet-101	ResNet-101	NNP
work_oavbptqpunch5jy27k3m3zb5yi	79	13	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	79	14	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	79	15	99.51	99.51	CD
work_oavbptqpunch5jy27k3m3zb5yi	79	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	18	0.994	0.994	CD
work_oavbptqpunch5jy27k3m3zb5yi	79	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	79	20	99.4	99.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	79	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	79	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	24	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	79	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	79	28	99.02	99.02	CD
work_oavbptqpunch5jy27k3m3zb5yi	79	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	79	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	79	31	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	79	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	80	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	80	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	80	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	80	4	Xception	Xception	NNP
work_oavbptqpunch5jy27k3m3zb5yi	80	5	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	80	6	attained	attain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	80	7	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	80	8	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	80	10	99.02	99.02	CD
work_oavbptqpunch5jy27k3m3zb5yi	80	11	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	80	13	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	80	14	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	80	16	0.994	0.994	CD
work_oavbptqpunch5jy27k3m3zb5yi	80	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	80	18	99.4	99.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	80	19	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	20	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	80	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	80	22	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	80	23	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	80	25	98.04	98.04	CD
work_oavbptqpunch5jy27k3m3zb5yi	80	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	80	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	80	29	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	80	30	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	31	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	80	32	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	80	33	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	80	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	81	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	81	2	main	main	JJ
work_oavbptqpunch5jy27k3m3zb5yi	81	3	advantages	advantage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	81	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	81	5	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	81	6	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	81	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	81	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	82	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	82	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	82	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	82	4	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	82	5	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	82	6	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	82	7	very	very	RB
work_oavbptqpunch5jy27k3m3zb5yi	82	8	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	82	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	82	10	resolution	resolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	82	11	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	82	12	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	82	13	splitting	split	VBG
work_oavbptqpunch5jy27k3m3zb5yi	82	14	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	82	15	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	82	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	82	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	82	18	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	82	19	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	82	20	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	82	21	patches	patch	NNS
work_oavbptqpunch5jy27k3m3zb5yi	82	22	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	82	23	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	82	24	then	then	RB
work_oavbptqpunch5jy27k3m3zb5yi	82	25	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	82	26	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	82	27	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	82	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	82	29	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	82	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	82	31	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	82	32	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	82	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	82	34	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	82	35	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	82	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	83	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	83	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	83	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	83	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	83	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	83	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	83	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	83	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	83	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	83	10	3/30	3/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	83	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	83	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	83	13	train	train	VB
work_oavbptqpunch5jy27k3m3zb5yi	83	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	83	15	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	83	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	84	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	84	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	84	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	84	4	Singh	Singh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	84	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	84	6	Kumar	Kumar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	84	7	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	84	8	Kaur	Kaur	NNP
work_oavbptqpunch5jy27k3m3zb5yi	84	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	84	10	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	84	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	84	12	introduced	introduce	VBD
work_oavbptqpunch5jy27k3m3zb5yi	84	13	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	84	14	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	84	15	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	84	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	84	17	tuned	tune	VBD
work_oavbptqpunch5jy27k3m3zb5yi	84	18	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	84	19	initial	initial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	84	20	parameters	parameter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	84	21	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	84	22	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	84	23	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	84	24	multi	multi	JJ
work_oavbptqpunch5jy27k3m3zb5yi	84	25	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	84	26	objective	objective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	84	27	differential	differential	NN
work_oavbptqpunch5jy27k3m3zb5yi	84	28	evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	84	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	84	30	DE	DE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	84	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	84	32	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	84	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	84	34	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	84	35	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	84	36	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	84	37	key	key	JJ
work_oavbptqpunch5jy27k3m3zb5yi	84	38	privilege	privilege	NN
work_oavbptqpunch5jy27k3m3zb5yi	84	39	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	84	40	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	84	41	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	84	42	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	84	43	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	85	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	85	2	DE	DE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	85	3	algorithm	algorithm	NN
work_oavbptqpunch5jy27k3m3zb5yi	85	4	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	85	5	confirmed	confirm	VBN
work_oavbptqpunch5jy27k3m3zb5yi	85	6	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	85	7	effectiveness	effectiveness	NN
work_oavbptqpunch5jy27k3m3zb5yi	85	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	85	9	various	various	JJ
work_oavbptqpunch5jy27k3m3zb5yi	85	10	domains	domain	NNS
work_oavbptqpunch5jy27k3m3zb5yi	85	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	85	12	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	85	13	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	85	14	Sanderson	Sanderson	NNP
work_oavbptqpunch5jy27k3m3zb5yi	85	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	85	16	2009	2009	CD
work_oavbptqpunch5jy27k3m3zb5yi	85	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	85	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	86	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	86	2	evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	86	3	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	86	4	guarantees	guarantee	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	86	5	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	86	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	86	7	individual	individual	NN
work_oavbptqpunch5jy27k3m3zb5yi	86	8	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	86	9	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	86	10	superior	superior	JJ
work_oavbptqpunch5jy27k3m3zb5yi	86	11	merits	merit	NNS
work_oavbptqpunch5jy27k3m3zb5yi	86	12	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	86	13	left	leave	VBN
work_oavbptqpunch5jy27k3m3zb5yi	86	14	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	86	15	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	86	16	portion	portion	NN
work_oavbptqpunch5jy27k3m3zb5yi	86	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	86	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	86	19	population	population	NN
work_oavbptqpunch5jy27k3m3zb5yi	86	20	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	86	21	fragile	fragile	JJ
work_oavbptqpunch5jy27k3m3zb5yi	86	22	individuals	individual	NNS
work_oavbptqpunch5jy27k3m3zb5yi	86	23	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	86	24	detached	detach	VBN
work_oavbptqpunch5jy27k3m3zb5yi	86	25	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	86	26	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	86	27	iteration	iteration	NN
work_oavbptqpunch5jy27k3m3zb5yi	86	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	86	29	Hancer	Hancer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	86	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	86	31	Xue	Xue	NNP
work_oavbptqpunch5jy27k3m3zb5yi	86	32	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	86	33	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	86	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	86	35	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	86	36	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	86	37	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	87	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	87	2	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	87	3	obtained	obtain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	87	4	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	87	5	almost	almost	RB
work_oavbptqpunch5jy27k3m3zb5yi	87	6	93	93	CD
work_oavbptqpunch5jy27k3m3zb5yi	87	7	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	87	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	88	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	88	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	88	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	88	4	limitation	limitation	NN
work_oavbptqpunch5jy27k3m3zb5yi	88	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	88	6	Singh	Singh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	88	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	88	8	Kumar	Kumar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	88	9	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	88	10	Kaur	Kaur	NNP
work_oavbptqpunch5jy27k3m3zb5yi	88	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	88	12	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	88	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	88	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	88	15	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	88	16	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	88	17	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	88	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	89	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	89	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	89	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	89	4	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	89	5	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	89	6	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	89	7	did	do	VBD
work_oavbptqpunch5jy27k3m3zb5yi	89	8	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	89	9	compare	compare	VB
work_oavbptqpunch5jy27k3m3zb5yi	89	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	89	11	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	89	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	89	13	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	89	14	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	89	15	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	89	16	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	89	17	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	89	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	89	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	89	20	radiologist	radiologist	NN
work_oavbptqpunch5jy27k3m3zb5yi	89	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	90	1	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	90	2	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	90	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	90	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	91	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	91	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	91	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	91	4	employed	employ	VBD
work_oavbptqpunch5jy27k3m3zb5yi	91	5	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	91	6	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	91	7	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	91	8	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	91	9	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	91	10	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	91	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	92	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	92	2	best	good	JJS
work_oavbptqpunch5jy27k3m3zb5yi	92	3	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	92	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	92	5	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	92	6	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	92	7	DenseNet-169	DenseNet-169	NNP
work_oavbptqpunch5jy27k3m3zb5yi	92	8	where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	92	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	92	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	92	11	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	92	12	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	92	13	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	92	14	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	92	15	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	92	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	92	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	92	18	0.94	0.94	CD
work_oavbptqpunch5jy27k3m3zb5yi	92	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	92	20	94	94	CD
work_oavbptqpunch5jy27k3m3zb5yi	92	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	92	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	92	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	92	24	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	92	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	93	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	93	2	DenseNet	DenseNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	93	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	93	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	93	5	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	93	6	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	93	7	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	93	9	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	93	10	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	93	11	perform	perform	VB
work_oavbptqpunch5jy27k3m3zb5yi	93	12	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	93	13	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	14	case	case	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	16	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	93	17	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	18	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	93	19	huge	huge	JJ
work_oavbptqpunch5jy27k3m3zb5yi	93	20	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	22	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	93	23	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	93	24	however	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	93	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	93	26	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	93	27	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	93	28	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	93	29	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	93	30	complexity	complexity	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	31	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	93	32	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	93	33	large	large	JJ
work_oavbptqpunch5jy27k3m3zb5yi	93	34	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	35	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	36	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	93	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	93	38	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	93	39	increase	increase	VBP
work_oavbptqpunch5jy27k3m3zb5yi	93	40	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	93	41	chances	chance	NNS
work_oavbptqpunch5jy27k3m3zb5yi	93	42	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	43	overfitting	overfitting	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	44	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	45	case	case	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	46	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	47	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	93	48	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	49	inadequate	inadequate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	93	50	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	93	51	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	93	52	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	93	53	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	94	1	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	94	2	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	94	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	94	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	95	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	95	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	95	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	95	4	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	95	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	95	6	hybrid	hybrid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	95	7	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	8	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	95	9	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	95	10	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	95	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	95	12	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	95	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	95	14	deformed	deform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	95	15	entropy	entropy	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	95	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	95	18	long	long	JJ
work_oavbptqpunch5jy27k3m3zb5yi	95	19	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	95	20	short	short	JJ
work_oavbptqpunch5jy27k3m3zb5yi	95	21	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	95	22	term	term	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	23	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	95	24	memory	memory	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	95	26	LSTM	LSTM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	95	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	95	28	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	29	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	95	30	accomplished	accomplish	VBD
work_oavbptqpunch5jy27k3m3zb5yi	95	31	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	95	32	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	33	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	95	34	99.68	99.68	CD
work_oavbptqpunch5jy27k3m3zb5yi	95	35	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	95	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	96	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	96	2	advantage	advantage	NN
work_oavbptqpunch5jy27k3m3zb5yi	96	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	96	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	96	5	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	96	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	96	7	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	96	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	96	9	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	96	10	constructed	construct	VBD
work_oavbptqpunch5jy27k3m3zb5yi	96	11	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	96	12	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	96	13	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	96	14	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	96	15	few	few	JJ
work_oavbptqpunch5jy27k3m3zb5yi	96	16	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	96	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	96	18	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	96	19	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	96	20	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	96	21	decrease	decrease	VB
work_oavbptqpunch5jy27k3m3zb5yi	96	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	96	23	over	over	RB
work_oavbptqpunch5jy27k3m3zb5yi	96	24	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	96	25	fitting	fitting	JJ
work_oavbptqpunch5jy27k3m3zb5yi	96	26	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	96	27	reducing	reduce	VBG
work_oavbptqpunch5jy27k3m3zb5yi	96	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	96	29	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	96	30	construction	construction	NN
work_oavbptqpunch5jy27k3m3zb5yi	96	31	complexity	complexity	NN
work_oavbptqpunch5jy27k3m3zb5yi	96	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	97	1	They	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	97	2	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	97	3	utilized	utilize	VBD
work_oavbptqpunch5jy27k3m3zb5yi	97	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	97	5	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	97	6	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	7	extractor	extractor	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	8	called	call	VBN
work_oavbptqpunch5jy27k3m3zb5yi	97	9	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	97	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	97	11	deformed	deform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	97	12	entropy	entropy	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	97	14	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	97	15	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	97	16	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	97	17	textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	97	18	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	19	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	20	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	97	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	97	22	providing	provide	VBG
work_oavbptqpunch5jy27k3m3zb5yi	97	23	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	97	24	major	major	JJ
work_oavbptqpunch5jy27k3m3zb5yi	97	25	benefit	benefit	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	26	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	97	27	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	97	28	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	29	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	97	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	98	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	98	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	98	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	98	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	98	5	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	98	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	98	7	deformed	deform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	98	8	entropy	entropy	NN
work_oavbptqpunch5jy27k3m3zb5yi	98	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	98	10	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	98	11	entropy	entropy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	98	12	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	98	13	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	98	14	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	98	15	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	98	16	detect	detect	VB
work_oavbptqpunch5jy27k3m3zb5yi	98	17	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	98	18	alterations	alteration	NNS
work_oavbptqpunch5jy27k3m3zb5yi	98	19	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	98	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	98	21	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	98	22	’s	’s	POS
work_oavbptqpunch5jy27k3m3zb5yi	98	23	intensity	intensity	NN
work_oavbptqpunch5jy27k3m3zb5yi	98	24	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	98	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	98	26	along	along	IN
work_oavbptqpunch5jy27k3m3zb5yi	98	27	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	98	28	sharpening	sharpen	VBG
work_oavbptqpunch5jy27k3m3zb5yi	98	29	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	98	30	texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	98	31	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	98	32	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	98	33	Al	Al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	98	34	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	98	35	Shamasneh	Shamasneh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	98	36	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	98	37	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	98	38	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	98	39	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	98	40	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	98	41	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	98	42	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	99	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	99	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	99	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	99	4	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	99	5	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	99	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	99	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	100	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	100	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	100	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	100	4	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	100	5	EfficientNet	EfficientNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	100	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	100	7	B4	B4	NNP
work_oavbptqpunch5jy27k3m3zb5yi	100	8	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	100	9	identify	identify	VB
work_oavbptqpunch5jy27k3m3zb5yi	100	10	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	100	11	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	100	12	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	100	13	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	100	15	87	87	CD
work_oavbptqpunch5jy27k3m3zb5yi	100	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	100	18	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	100	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	100	20	0.9	0.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	100	21	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	100	22	90	90	CD
work_oavbptqpunch5jy27k3m3zb5yi	100	23	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	100	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	100	26	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	100	28	89	89	CD
work_oavbptqpunch5jy27k3m3zb5yi	100	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	100	31	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	100	32	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	100	33	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	100	35	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	100	36	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	100	37	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	101	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	101	2	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	101	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	101	4	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	101	5	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	101	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	101	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	102	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	102	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	102	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	102	4	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	102	5	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	102	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	102	7	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	102	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	102	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	102	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	102	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	102	12	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	102	13	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	102	14	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	102	15	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	102	16	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	102	17	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	102	18	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	102	19	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	102	20	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	102	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	103	1	It	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	103	2	proved	prove	VBD
work_oavbptqpunch5jy27k3m3zb5yi	103	3	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	5	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	103	6	assistance	assistance	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	7	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	103	8	enhanced	enhance	VBN
work_oavbptqpunch5jy27k3m3zb5yi	103	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	10	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	103	11	’	’	POS
work_oavbptqpunch5jy27k3m3zb5yi	103	12	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	13	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	14	diagnosing	diagnose	VBG
work_oavbptqpunch5jy27k3m3zb5yi	103	15	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	103	16	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	103	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	103	18	but	but	CC
work_oavbptqpunch5jy27k3m3zb5yi	103	19	there	there	EX
work_oavbptqpunch5jy27k3m3zb5yi	103	20	could	could	MD
work_oavbptqpunch5jy27k3m3zb5yi	103	21	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	103	22	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	23	bias	bias	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	24	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	25	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	26	result	result	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	29	radiologist	radiologist	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	30	’s	’s	POS
work_oavbptqpunch5jy27k3m3zb5yi	103	31	evaluation	evaluation	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	34	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	103	35	suspects	suspect	NNS
work_oavbptqpunch5jy27k3m3zb5yi	103	36	twice	twice	RB
work_oavbptqpunch5jy27k3m3zb5yi	103	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	103	38	primary	primary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	103	39	without	without	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	103	41	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	103	42	then	then	RB
work_oavbptqpunch5jy27k3m3zb5yi	103	43	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	44	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	103	45	assistance	assistance	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	46	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	103	47	whereas	whereas	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	48	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	103	49	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	103	50	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	103	51	Amyar	Amyar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	103	52	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	103	53	Modzelewski	Modzelewski	NNP
work_oavbptqpunch5jy27k3m3zb5yi	103	54	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	103	55	Ruan	Ruan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	103	56	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	103	57	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	103	58	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	103	59	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	103	60	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	103	61	U	U	NNS
work_oavbptqpunch5jy27k3m3zb5yi	103	62	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	103	63	Nets	Nets	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	103	64	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	103	65	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	103	66	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	103	67	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	104	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	104	2	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	104	3	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	104	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	104	5	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	104	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	104	7	segment	segment	VB
work_oavbptqpunch5jy27k3m3zb5yi	104	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	104	9	lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	104	10	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	104	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	104	12	rest	rest	NN
work_oavbptqpunch5jy27k3m3zb5yi	104	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	104	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	104	15	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	104	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	104	17	while	while	IN
work_oavbptqpunch5jy27k3m3zb5yi	104	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	104	19	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	104	20	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	104	21	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	104	22	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	104	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	105	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	105	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	4	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	6	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	105	9	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	10	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	105	11	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	105	12	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	105	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	15	0.93	0.93	CD
work_oavbptqpunch5jy27k3m3zb5yi	105	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	105	17	93	93	CD
work_oavbptqpunch5jy27k3m3zb5yi	105	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	105	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	21	94	94	CD
work_oavbptqpunch5jy27k3m3zb5yi	105	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	24	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	105	25	79	79	CD
work_oavbptqpunch5jy27k3m3zb5yi	105	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	105	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	105	28	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	105	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	106	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	106	2	benefit	benefit	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	106	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	106	5	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	106	7	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	106	8	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	106	9	multi	multi	JJ
work_oavbptqpunch5jy27k3m3zb5yi	106	10	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	106	11	task	task	JJ
work_oavbptqpunch5jy27k3m3zb5yi	106	12	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	13	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	106	15	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	106	16	fuses	fuse	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	106	17	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	106	18	portions	portion	NNS
work_oavbptqpunch5jy27k3m3zb5yi	106	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	106	20	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	21	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	106	22	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	106	23	tasks	task	NNS
work_oavbptqpunch5jy27k3m3zb5yi	106	24	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	106	25	enhance	enhance	VB
work_oavbptqpunch5jy27k3m3zb5yi	106	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	106	27	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	106	29	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	106	30	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	106	31	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	32	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	106	33	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	106	34	capability	capability	NN
work_oavbptqpunch5jy27k3m3zb5yi	106	35	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	106	36	better	well	RBR
work_oavbptqpunch5jy27k3m3zb5yi	106	37	generalize	generalize	VB
work_oavbptqpunch5jy27k3m3zb5yi	106	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	107	1	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	107	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	107	3	Net	Net	NNP
work_oavbptqpunch5jy27k3m3zb5yi	107	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	107	5	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	107	6	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	107	7	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	107	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	107	9	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	107	10	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	107	11	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	107	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	108	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	108	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	108	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	108	4	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	108	5	discriminate	discriminate	VB
work_oavbptqpunch5jy27k3m3zb5yi	108	6	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	108	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	108	8	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	108	9	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	108	10	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	108	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	109	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	109	2	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	109	3	obtained	obtain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	109	4	showed	show	VBD
work_oavbptqpunch5jy27k3m3zb5yi	109	5	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	109	6	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	109	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	109	8	95.2	95.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	109	9	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	109	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	109	11	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	109	12	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	109	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	109	14	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	109	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	109	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	109	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	109	18	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	109	19	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	109	20	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	109	21	93.6	93.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	109	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	109	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	110	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	110	2	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	110	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	110	4	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	110	5	good	good	JJ
work_oavbptqpunch5jy27k3m3zb5yi	110	6	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	110	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	110	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	110	9	huge	huge	JJ
work_oavbptqpunch5jy27k3m3zb5yi	110	10	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	110	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	110	12	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	110	13	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	110	14	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	110	15	train	train	VB
work_oavbptqpunch5jy27k3m3zb5yi	110	16	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	110	17	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	110	18	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	110	19	NETs	NETs	NNP
work_oavbptqpunch5jy27k3m3zb5yi	110	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	111	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	111	2	summary	summary	NN
work_oavbptqpunch5jy27k3m3zb5yi	111	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	111	4	similar	similar	JJ
work_oavbptqpunch5jy27k3m3zb5yi	111	5	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	111	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	111	7	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	111	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	111	9	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	111	10	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	111	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	112	1	As	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	112	2	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	112	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	112	4	obvious	obvious	JJ
work_oavbptqpunch5jy27k3m3zb5yi	112	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	112	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	112	7	table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	112	8	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	112	9	most	most	JJS
work_oavbptqpunch5jy27k3m3zb5yi	112	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	112	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	112	12	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	112	13	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	112	14	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	112	15	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	112	16	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	112	17	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	18	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	112	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	112	20	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	112	21	either	either	CC
work_oavbptqpunch5jy27k3m3zb5yi	112	22	employing	employ	VBG
work_oavbptqpunch5jy27k3m3zb5yi	112	23	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	112	24	single	single	JJ
work_oavbptqpunch5jy27k3m3zb5yi	112	25	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	26	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	112	27	combining	combine	VBG
work_oavbptqpunch5jy27k3m3zb5yi	112	28	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	112	29	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	112	30	where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	112	31	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	112	32	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	112	33	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	34	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	112	35	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	112	36	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	112	37	segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	112	38	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	112	39	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	112	40	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	112	41	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	42	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	112	43	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	44	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	112	45	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	112	46	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	112	47	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	112	48	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	49	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	112	50	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	113	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	113	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	113	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	113	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	113	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	113	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	113	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	113	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	113	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	113	10	4/30	4/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	113	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	113	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	113	13	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	113	14	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	113	15	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	113	16	summary	summary	NN
work_oavbptqpunch5jy27k3m3zb5yi	113	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	113	18	recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	113	19	similar	similar	JJ
work_oavbptqpunch5jy27k3m3zb5yi	113	20	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	113	21	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	113	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	114	1	Paper	Paper	NNP
work_oavbptqpunch5jy27k3m3zb5yi	114	2	Dataset	Dataset	NNP
work_oavbptqpunch5jy27k3m3zb5yi	114	3	Method	Method	NNP
work_oavbptqpunch5jy27k3m3zb5yi	114	4	Results	Results	NNP
work_oavbptqpunch5jy27k3m3zb5yi	114	5	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	114	6	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	114	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	114	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	115	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	115	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	115	4	219	219	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	5	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	115	6	339	339	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	7	Others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	115	8	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	115	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	115	10	ResNet-23	ResNet-23	``
work_oavbptqpunch5jy27k3m3zb5yi	115	11	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	12	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	115	13	95.2	95.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	14	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	15	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	115	16	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	115	17	0.996	0.996	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	115	19	99.6	99.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	115	22	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	23	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	115	24	98.2	98.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	26	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	27	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	115	28	92.2	92.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	115	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	115	30	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	115	31	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	115	32	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	115	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	116	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	116	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	116	4	468	468	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	6	2,996	2,996	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	7	Others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	116	8	ResNet-50	ResNet-50	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	116	9	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	116	10	=	=	NFP
work_oavbptqpunch5jy27k3m3zb5yi	116	11	89.5	89.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	12	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	116	13	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	116	14	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	116	15	0.95	0.95	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	116	17	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	116	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	116	20	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	116	21	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	116	22	87	87	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	23	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	116	24	Specificity	Specificity	NNP
work_oavbptqpunch5jy27k3m3zb5yi	116	25	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	116	26	92	92	CD
work_oavbptqpunch5jy27k3m3zb5yi	116	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	116	28	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	116	29	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	116	30	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	116	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	117	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	117	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	117	4	521	521	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	5	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	117	6	665	665	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	7	others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	117	8	EfficientNet	EfficientNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	117	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	117	10	B4	B4	NNP
work_oavbptqpunch5jy27k3m3zb5yi	117	11	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	117	12	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	117	13	87	87	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	14	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	117	15	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	117	16	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	117	17	0.9	0.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	117	19	90	90	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	117	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	117	22	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	117	23	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	117	24	89	89	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	117	26	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	117	27	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	117	28	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	117	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	117	30	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	117	31	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	117	32	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	117	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	118	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	4	191	191	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	6	234	234	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	7	others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	118	8	DenseNet-169	DenseNet-169	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	9	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	10	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	118	11	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	12	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	13	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	14	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	118	15	0.94	0.94	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	17	94	94	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	20	Amyar	Amyar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	118	22	Modzelewski	Modzelewski	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	23	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	118	24	Ruan	Ruan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	26	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	28	449	449	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	29	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	30	595	595	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	31	others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	118	32	Two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	33	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	34	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	118	35	Nets	Nets	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	118	36	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	37	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	118	38	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	39	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	40	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	41	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	118	42	0.93	0.93	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	43	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	44	93	93	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	45	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	46	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	118	47	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	48	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	118	49	94	94	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	50	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	51	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	52	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	118	53	79	79	CD
work_oavbptqpunch5jy27k3m3zb5yi	118	54	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	118	55	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	56	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	118	57	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	118	58	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	119	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	119	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	119	4	108	108	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	6	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	7	others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	119	8	ResNet-101	resnet-101	VBP
work_oavbptqpunch5jy27k3m3zb5yi	119	9	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	10	=	=	NFP
work_oavbptqpunch5jy27k3m3zb5yi	119	11	99.51	99.51	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	12	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	13	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	14	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	15	0.994	0.994	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	119	17	99.4	99.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	119	20	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	21	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	22	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	23	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	24	Specificity	Specificity	NNP
work_oavbptqpunch5jy27k3m3zb5yi	119	25	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	26	99.02	99.02	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	28	Xception	Xception	NNP
work_oavbptqpunch5jy27k3m3zb5yi	119	29	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	30	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	31	99.02	99.02	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	33	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	34	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	35	0.994	0.994	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	36	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	119	37	99.4	99.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	38	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	39	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	119	40	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	41	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	42	98.04	98.04	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	43	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	44	Specificity	Specificity	NNP
work_oavbptqpunch5jy27k3m3zb5yi	119	45	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	119	46	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	119	47	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	119	48	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	119	49	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	119	50	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	119	51	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	120	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	120	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	120	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	120	4	4,382	4,382	CD
work_oavbptqpunch5jy27k3m3zb5yi	120	5	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	120	6	9,369	9,369	CD
work_oavbptqpunch5jy27k3m3zb5yi	120	7	others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	120	8	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	120	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	120	10	Net++	Net++	NNP
work_oavbptqpunch5jy27k3m3zb5yi	120	11	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	120	12	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	120	13	95.2	95.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	120	14	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	120	15	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	120	16	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	120	17	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	120	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	120	19	Specificity	Specificity	NNP
work_oavbptqpunch5jy27k3m3zb5yi	120	20	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	120	21	93.6	93.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	120	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	120	23	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	120	24	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	120	25	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	120	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	121	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	121	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	121	4	313	313	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	6	229	229	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	7	Others	Others	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	8	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	121	10	Net	Net	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	121	12	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	13	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	14	=	=	NFP
work_oavbptqpunch5jy27k3m3zb5yi	121	15	90.9	90.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	121	17	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	18	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	121	19	0.959	0.959	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	121	21	95.9	95.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	121	23	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	121	24	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	121	25	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	121	26	90.7	90.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	121	28	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	121	29	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	121	30	91.1	91.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	121	31	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	121	32	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	33	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	34	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	121	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	122	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	122	2	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	122	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	122	4	723	723	CD
work_oavbptqpunch5jy27k3m3zb5yi	122	5	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	122	6	413	413	CD
work_oavbptqpunch5jy27k3m3zb5yi	122	7	Others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	122	8	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	122	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	122	10	Net	Net	NNP
work_oavbptqpunch5jy27k3m3zb5yi	122	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	122	12	ResNet-50	resnet-50	XX
work_oavbptqpunch5jy27k3m3zb5yi	122	13	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	122	14	=	=	NFP
work_oavbptqpunch5jy27k3m3zb5yi	122	15	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	122	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	122	17	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	122	18	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	122	19	97.4	97.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	122	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	122	21	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	122	22	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	122	23	92.2	92.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	122	24	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	122	25	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	122	26	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	122	27	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	122	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	123	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	123	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	123	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	123	4	118	118	CD
work_oavbptqpunch5jy27k3m3zb5yi	123	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	123	6	203	203	CD
work_oavbptqpunch5jy27k3m3zb5yi	123	7	Others	Others	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	123	8	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	123	10	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	123	12	deformed	deform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	123	13	entropy	entropy	NN
work_oavbptqpunch5jy27k3m3zb5yi	123	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	123	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	123	16	LSTM	LSTM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	17	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	18	=	=	NFP
work_oavbptqpunch5jy27k3m3zb5yi	123	19	99.68	99.68	CD
work_oavbptqpunch5jy27k3m3zb5yi	123	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	123	21	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	22	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	23	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	123	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	124	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	124	2	2020a	2020a	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	124	4	496	496	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	6	1,385	1,385	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	7	Others	Others	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	8	Deeplab	Deeplab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	124	10	v1	v1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	124	12	ResNet	ResNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	13	152	152	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	14	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	15	=	=	NFP
work_oavbptqpunch5jy27k3m3zb5yi	124	16	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	17	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	18	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	19	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	124	20	0.979	0.979	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	21	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	124	22	97.9	97.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	23	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	124	25	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	26	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	124	27	94.1	94.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	28	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	29	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	30	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	124	31	95.5	95.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	124	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	124	33	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	34	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	124	35	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	124	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	125	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	125	2	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	125	4	219	219	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	5	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	125	6	399	399	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	7	Others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	125	8	ResNet-50	ResNet-50	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	125	9	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	10	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	125	11	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	12	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	13	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	14	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	125	15	0.95	0.95	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	125	17	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	125	20	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	21	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	125	22	96	96	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	23	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	24	Precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	25	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	125	26	79	79	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	28	Singh	Singh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	125	30	Kumar	Kumar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	31	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	125	32	Kaur	Kaur	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	33	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	125	34	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	125	35	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	125	36	–	–	:
work_oavbptqpunch5jy27k3m3zb5yi	125	37	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	38	Accuracy~93	Accuracy~93	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	125	39	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	125	40	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	41	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	125	42	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	125	43	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	126	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	126	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	126	4	325	325	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	6	740	740	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	7	Others	Others	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	126	8	Inception	Inception	NNP
work_oavbptqpunch5jy27k3m3zb5yi	126	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	126	10	Adaboosted	adabooste	VBN
work_oavbptqpunch5jy27k3m3zb5yi	126	11	decision	decision	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	12	tree	tree	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	13	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	14	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	126	15	82.9	82.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	17	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	126	18	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	126	19	0.9	0.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	126	21	90	90	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	23	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	126	24	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	25	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	126	26	81	81	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	28	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	29	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	126	30	84	84	CD
work_oavbptqpunch5jy27k3m3zb5yi	126	31	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	126	32	Fang	Fang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	126	33	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	126	34	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	126	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	127	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	127	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	127	4	46	46	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	5	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	127	7	29	29	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	8	others	other	NNS
work_oavbptqpunch5jy27k3m3zb5yi	127	9	Radiomic	radiomic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	127	10	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	127	11	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	127	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	127	13	clustering	clustering	NN
work_oavbptqpunch5jy27k3m3zb5yi	127	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	127	15	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	127	16	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	127	17	=	=	SYM
work_oavbptqpunch5jy27k3m3zb5yi	127	18	0.826	0.826	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	127	20	82.6	82.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	127	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	127	23	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	127	24	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	127	25	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	127	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	127	27	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	127	28	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	127	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	127	30	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	127	31	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	127	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	128	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	128	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	128	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	128	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	128	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	128	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	128	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	128	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	128	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	128	10	5/30	5/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	128	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	128	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_oavbptqpunch5jy27k3m3zb5yi	128	13	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	128	14	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	128	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	128	16	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	128	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	128	18	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	128	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	128	20	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	128	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	129	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	129	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	129	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	129	4	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	129	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	129	6	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	129	7	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	129	8	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	129	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	129	10	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	129	11	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	129	12	examined	examine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	129	13	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	129	14	previous	previous	JJ
work_oavbptqpunch5jy27k3m3zb5yi	129	15	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	129	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	130	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	130	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	130	3	almost	almost	RB
work_oavbptqpunch5jy27k3m3zb5yi	130	4	all	all	DT
work_oavbptqpunch5jy27k3m3zb5yi	130	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	130	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	130	7	existing	exist	VBG
work_oavbptqpunch5jy27k3m3zb5yi	130	8	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	130	9	depend	depend	VBP
work_oavbptqpunch5jy27k3m3zb5yi	130	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	130	11	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	130	12	only	only	RB
work_oavbptqpunch5jy27k3m3zb5yi	130	13	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	130	14	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	130	15	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	130	16	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	130	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	130	18	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	130	19	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	130	20	have	have	VB
work_oavbptqpunch5jy27k3m3zb5yi	130	21	some	some	DT
work_oavbptqpunch5jy27k3m3zb5yi	130	22	limitations	limitation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	130	23	regarding	regard	VBG
work_oavbptqpunch5jy27k3m3zb5yi	130	24	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	130	25	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	130	26	complexity	complexity	NN
work_oavbptqpunch5jy27k3m3zb5yi	130	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	131	1	Feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	131	2	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	131	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	131	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	131	5	vital	vital	JJ
work_oavbptqpunch5jy27k3m3zb5yi	131	6	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	131	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	131	8	extracting	extract	VBG
work_oavbptqpunch5jy27k3m3zb5yi	131	9	important	important	JJ
work_oavbptqpunch5jy27k3m3zb5yi	131	10	spatial	spatial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	131	11	variations	variation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	131	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	131	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	131	14	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	131	15	pixels	pixel	NNS
work_oavbptqpunch5jy27k3m3zb5yi	131	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	132	1	Although	although	IN
work_oavbptqpunch5jy27k3m3zb5yi	132	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	132	3	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	132	4	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	132	5	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	132	6	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	132	7	powerful	powerful	JJ
work_oavbptqpunch5jy27k3m3zb5yi	132	8	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	132	10	large-	large-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	132	11	scale	scale	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	12	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	13	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	132	15	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	16	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	132	18	however	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	132	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	132	20	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	132	21	could	could	MD
work_oavbptqpunch5jy27k3m3zb5yi	132	22	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	132	23	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	132	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	132	25	ideal	ideal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	132	26	choice	choice	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	27	when	when	WRB
work_oavbptqpunch5jy27k3m3zb5yi	132	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	132	29	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	30	available	available	JJ
work_oavbptqpunch5jy27k3m3zb5yi	132	31	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	132	32	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	132	33	large	large	JJ
work_oavbptqpunch5jy27k3m3zb5yi	132	34	containing	contain	VBG
work_oavbptqpunch5jy27k3m3zb5yi	132	35	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	132	36	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	132	37	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	132	38	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	132	39	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	132	40	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	132	41	Nguyen	Nguyen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	132	42	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	132	43	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	132	44	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	132	45	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	132	46	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	132	47	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	132	48	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	133	1	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	133	2	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	133	3	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	133	4	hardly	hardly	RB
work_oavbptqpunch5jy27k3m3zb5yi	133	5	employ	employ	VB
work_oavbptqpunch5jy27k3m3zb5yi	133	6	heuristics	heuristic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	133	7	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	133	8	direct	direct	VB
work_oavbptqpunch5jy27k3m3zb5yi	133	9	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	133	10	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	133	11	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	133	12	every	every	DT
work_oavbptqpunch5jy27k3m3zb5yi	133	13	particular	particular	JJ
work_oavbptqpunch5jy27k3m3zb5yi	133	14	task	task	NN
work_oavbptqpunch5jy27k3m3zb5yi	133	15	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	133	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	133	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	133	18	automatic	automatic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	133	19	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	133	20	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	133	21	procedure	procedure	NN
work_oavbptqpunch5jy27k3m3zb5yi	133	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	134	1	They	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	134	2	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	134	3	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	134	4	face	face	VB
work_oavbptqpunch5jy27k3m3zb5yi	134	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	134	6	problem	problem	NN
work_oavbptqpunch5jy27k3m3zb5yi	134	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	134	8	overfitting	overfitte	VBG
work_oavbptqpunch5jy27k3m3zb5yi	134	9	when	when	WRB
work_oavbptqpunch5jy27k3m3zb5yi	134	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	134	11	training	training	NN
work_oavbptqpunch5jy27k3m3zb5yi	134	12	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	134	13	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	134	14	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	134	15	large	large	JJ
work_oavbptqpunch5jy27k3m3zb5yi	134	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	134	17	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	134	18	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	134	19	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	134	20	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	134	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	134	22	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	134	23	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	134	24	Nanni	Nanni	NNP
work_oavbptqpunch5jy27k3m3zb5yi	134	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	134	26	Ghidoni	Ghidoni	NNP
work_oavbptqpunch5jy27k3m3zb5yi	134	27	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	134	28	Brahnam	Brahnam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	134	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	134	30	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	134	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	134	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	135	1	Fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	135	2	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	135	4	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	135	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	135	6	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	135	7	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	135	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	135	9	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	135	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	135	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	135	12	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	135	13	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	135	14	problems	problem	NNS
work_oavbptqpunch5jy27k3m3zb5yi	135	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	135	16	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	17	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	135	18	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	19	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	135	21	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	135	22	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	135	23	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	24	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	135	25	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	26	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	135	28	2019a	2019a	LS
work_oavbptqpunch5jy27k3m3zb5yi	135	29	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	135	30	Hansley	Hansley	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	135	32	Segundo	Segundo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	33	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	135	34	Sarkar	Sarkar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	135	35	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	135	36	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	135	37	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	135	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	136	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	136	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	136	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	136	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	136	5	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	136	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	136	7	we	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	136	8	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	136	9	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	136	10	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	136	11	novel	novel	NN
work_oavbptqpunch5jy27k3m3zb5yi	136	12	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	136	13	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	136	14	called	call	VBN
work_oavbptqpunch5jy27k3m3zb5yi	136	15	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	136	16	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	136	17	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	136	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	136	19	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	136	20	investigates	investigate	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	136	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	136	22	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	136	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	136	24	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	136	25	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	136	26	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	136	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	136	28	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	136	29	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	136	30	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	136	31	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	136	32	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	136	33	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	136	34	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	136	35	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	136	36	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	136	37	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	136	38	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	136	39	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	137	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	137	2	proposed	proposed	JJ
work_oavbptqpunch5jy27k3m3zb5yi	137	3	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	137	4	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	137	5	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	137	6	will	will	MD
work_oavbptqpunch5jy27k3m3zb5yi	137	7	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	137	8	discussed	discuss	VBN
work_oavbptqpunch5jy27k3m3zb5yi	137	9	later	later	RB
work_oavbptqpunch5jy27k3m3zb5yi	137	10	consists	consist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	137	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	137	12	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	137	13	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	137	14	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	137	15	�	�	ADD
work_oavbptqpunch5jy27k3m3zb5yi	137	16	Stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	137	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	137	18	1)—Deep	1)—deep	CD
work_oavbptqpunch5jy27k3m3zb5yi	137	19	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	137	20	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	137	21	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	137	22	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	137	23	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	137	24	performed	perform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	137	25	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	137	26	extracting	extract	VBG
work_oavbptqpunch5jy27k3m3zb5yi	137	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	137	28	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	137	29	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	137	30	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	137	31	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	137	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	137	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	137	34	fine	fine	RB
work_oavbptqpunch5jy27k3m3zb5yi	137	35	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	137	36	tuned	tune	VBN
work_oavbptqpunch5jy27k3m3zb5yi	137	37	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	137	38	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	137	39	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	137	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	137	41	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	137	42	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	137	43	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	137	44	ResNet-18	ResNet-18	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	137	45	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	137	46	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	137	47	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	138	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	138	2	Stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	4	2)—Handcrafted	2)—handcrafted	CD
work_oavbptqpunch5jy27k3m3zb5yi	138	5	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	138	6	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	7	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	138	8	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	138	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	138	10	accomplished	accomplish	VBN
work_oavbptqpunch5jy27k3m3zb5yi	138	11	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	138	12	extracting	extract	VBG
work_oavbptqpunch5jy27k3m3zb5yi	138	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	138	14	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	138	15	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	138	16	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	138	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	138	18	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	138	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	20	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	138	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	22	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	138	23	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	138	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	138	25	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	138	26	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	138	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	138	28	discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	138	29	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	30	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	32	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	138	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	138	35	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	138	36	grey	grey	JJ
work_oavbptqpunch5jy27k3m3zb5yi	138	37	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	38	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	39	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	40	occurrence	occurrence	JJ
work_oavbptqpunch5jy27k3m3zb5yi	138	41	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	138	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	43	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	138	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	138	45	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	138	46	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	139	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	139	2	Stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	139	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	4	3)—FUSI	3)—fusi	CD
work_oavbptqpunch5jy27k3m3zb5yi	139	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	139	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	139	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	8	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	139	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	139	10	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	139	11	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	139	12	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	139	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	14	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	139	15	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	139	16	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	139	17	implemented	implement	VBN
work_oavbptqpunch5jy27k3m3zb5yi	139	18	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	139	19	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	139	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	139	21	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	139	22	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	139	23	both	both	DT
work_oavbptqpunch5jy27k3m3zb5yi	139	24	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	139	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	26	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	139	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	139	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	30	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	139	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	139	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	140	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	140	2	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	140	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	140	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	140	5	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	140	6	compares	compare	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	140	7	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	140	8	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	140	9	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	140	10	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	140	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	140	12	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	140	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	140	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	140	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	140	16	2	2	LS
work_oavbptqpunch5jy27k3m3zb5yi	140	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	140	18	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	140	19	test	test	VB
work_oavbptqpunch5jy27k3m3zb5yi	140	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	140	21	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	140	22	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	140	23	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	140	24	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	140	25	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	140	26	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	140	27	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	140	28	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	140	29	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	140	30	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	140	31	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	140	32	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	140	33	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	140	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	140	35	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	140	36	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	140	37	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	140	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	141	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	141	2	novelty	novelty	NN
work_oavbptqpunch5jy27k3m3zb5yi	141	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	141	5	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	141	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	141	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	141	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	141	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	141	10	concentrated	concentrate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	141	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	12	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	141	13	contributions	contribution	NNS
work_oavbptqpunch5jy27k3m3zb5yi	141	14	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	141	15	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	141	16	Exploring	explore	VBG
work_oavbptqpunch5jy27k3m3zb5yi	141	17	various	various	JJ
work_oavbptqpunch5jy27k3m3zb5yi	141	18	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	141	19	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	141	20	approaches	approach	NNS
work_oavbptqpunch5jy27k3m3zb5yi	141	21	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	141	22	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	23	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	141	24	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	141	25	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	141	26	utilized	utilize	VBN
work_oavbptqpunch5jy27k3m3zb5yi	141	27	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	141	29	literature	literature	NN
work_oavbptqpunch5jy27k3m3zb5yi	141	30	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	31	detecting	detect	VBG
work_oavbptqpunch5jy27k3m3zb5yi	141	32	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	141	33	presence	presence	NN
work_oavbptqpunch5jy27k3m3zb5yi	141	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	35	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	141	36	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	141	37	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	141	38	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	141	39	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	141	40	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	142	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	142	2	Fusing	fusing	NN
work_oavbptqpunch5jy27k3m3zb5yi	142	3	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	142	4	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	142	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	142	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	142	7	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	142	8	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	142	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	142	10	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	142	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	142	12	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	142	13	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	142	14	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	142	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	142	16	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	142	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	142	18	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	142	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	142	20	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	142	21	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	142	22	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	142	23	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	142	24	examined	examine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	142	25	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	142	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	142	27	literature	literature	NN
work_oavbptqpunch5jy27k3m3zb5yi	142	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	143	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	143	2	Combining	combine	VBG
work_oavbptqpunch5jy27k3m3zb5yi	143	3	powerful	powerful	JJ
work_oavbptqpunch5jy27k3m3zb5yi	143	4	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	143	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	143	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	143	7	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	143	8	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	143	9	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	143	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	143	11	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	143	12	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	143	13	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	143	14	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	143	15	examined	examine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	143	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	143	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	143	18	literature	literature	NN
work_oavbptqpunch5jy27k3m3zb5yi	143	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	144	1	�	�	:
work_oavbptqpunch5jy27k3m3zb5yi	144	2	Comparing	compare	VBG
work_oavbptqpunch5jy27k3m3zb5yi	144	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	144	4	usage	usage	NN
work_oavbptqpunch5jy27k3m3zb5yi	144	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	144	6	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	144	7	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	144	8	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	144	9	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	144	10	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	144	11	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	144	12	diagnosing	diagnose	VBG
work_oavbptqpunch5jy27k3m3zb5yi	144	13	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	144	14	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	144	15	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	144	16	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	144	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	144	18	few	few	JJ
work_oavbptqpunch5jy27k3m3zb5yi	144	19	numbers	number	NNS
work_oavbptqpunch5jy27k3m3zb5yi	144	20	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	144	21	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	144	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	145	1	�	�	VB
work_oavbptqpunch5jy27k3m3zb5yi	145	2	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	145	3	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	4	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	5	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	145	6	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	145	8	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	145	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	145	10	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	145	11	combines	combine	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	145	12	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	145	14	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	145	15	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	16	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	17	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	145	18	models	model	NNS
work_oavbptqpunch5jy27k3m3zb5yi	145	19	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	145	20	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	145	21	powerful	powerful	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	22	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	145	23	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	145	24	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	145	25	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	145	26	textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	27	analyses	analysis	NNS
work_oavbptqpunch5jy27k3m3zb5yi	145	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	145	29	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	145	30	produce	produce	VB
work_oavbptqpunch5jy27k3m3zb5yi	145	31	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	145	32	final	final	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	33	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	34	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	145	35	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	36	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	37	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	38	even	even	RB
work_oavbptqpunch5jy27k3m3zb5yi	145	39	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	145	40	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	145	41	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	42	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	43	containing	contain	VBG
work_oavbptqpunch5jy27k3m3zb5yi	145	44	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	145	45	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	145	46	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	145	47	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	145	48	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	146	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	146	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	146	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	146	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	146	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	146	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	146	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	146	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	146	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	146	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	147	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	147	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	147	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	147	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	147	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	147	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	147	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	147	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	147	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	147	10	6/30	6/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	147	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	NN
work_oavbptqpunch5jy27k3m3zb5yi	147	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	147	13	�	�	.
work_oavbptqpunch5jy27k3m3zb5yi	147	14	Developing	develop	VBG
work_oavbptqpunch5jy27k3m3zb5yi	147	15	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	147	16	final	final	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	17	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	147	18	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	147	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	147	20	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	21	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	22	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	147	23	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	147	24	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	147	25	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	26	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	147	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	147	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	147	29	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	147	30	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	147	31	able	able	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	32	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	147	33	verify	verify	VB
work_oavbptqpunch5jy27k3m3zb5yi	147	34	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	147	35	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	147	36	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	147	37	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	147	38	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	147	39	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	147	40	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	147	41	paradigms	paradigm	NNS
work_oavbptqpunch5jy27k3m3zb5yi	147	42	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	147	43	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	44	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	147	45	extracting	extract	VBG
work_oavbptqpunch5jy27k3m3zb5yi	147	46	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	147	47	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	147	48	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	147	49	neglected	neglect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	147	50	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	147	51	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	147	52	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	147	53	paradigm	paradigm	NN
work_oavbptqpunch5jy27k3m3zb5yi	147	54	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	148	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	148	2	Constructing	construct	VBG
work_oavbptqpunch5jy27k3m3zb5yi	148	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	148	4	reliable	reliable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	148	5	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	148	6	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	148	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	148	8	faster	fast	JJR
work_oavbptqpunch5jy27k3m3zb5yi	148	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	148	10	more	more	RBR
work_oavbptqpunch5jy27k3m3zb5yi	148	11	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	148	12	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	148	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	148	14	conventionally	conventionally	RB
work_oavbptqpunch5jy27k3m3zb5yi	148	15	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	148	16	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	148	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	148	18	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	148	19	testing	testing	NN
work_oavbptqpunch5jy27k3m3zb5yi	148	20	kit	kit	NN
work_oavbptqpunch5jy27k3m3zb5yi	148	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	149	1	METHODS	methods	JJ
work_oavbptqpunch5jy27k3m3zb5yi	149	2	AND	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	149	3	MATERIALS	material	NNS
work_oavbptqpunch5jy27k3m3zb5yi	149	4	Dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	149	5	description	description	NN
work_oavbptqpunch5jy27k3m3zb5yi	149	6	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	149	7	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	149	8	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	149	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	149	10	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	149	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	149	12	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	149	13	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	149	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	149	15	scan	scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	149	16	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	149	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	150	1	It	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	150	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	150	3	acquired	acquire	VBN
work_oavbptqpunch5jy27k3m3zb5yi	150	4	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	150	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	150	6	hospital	hospital	NN
work_oavbptqpunch5jy27k3m3zb5yi	150	7	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	150	8	Sao	Sao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	150	9	Paulo	Paulo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	150	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	150	11	Brazil	Brazil	NNP
work_oavbptqpunch5jy27k3m3zb5yi	150	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	150	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	150	14	permitted	permit	VBN
work_oavbptqpunch5jy27k3m3zb5yi	150	15	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	150	16	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	150	17	ethical	ethical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	150	18	committee	committee	NN
work_oavbptqpunch5jy27k3m3zb5yi	150	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	151	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	151	2	description	description	NN
work_oavbptqpunch5jy27k3m3zb5yi	151	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	151	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	151	5	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	151	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	151	7	available	available	JJ
work_oavbptqpunch5jy27k3m3zb5yi	151	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	151	9	Soares	Soares	NNP
work_oavbptqpunch5jy27k3m3zb5yi	151	10	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	151	11	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	151	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	152	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	152	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	152	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	152	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	153	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	153	2	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	153	3	contains	contain	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	153	4	1252	1252	CD
work_oavbptqpunch5jy27k3m3zb5yi	153	5	CT	ct	NN
work_oavbptqpunch5jy27k3m3zb5yi	153	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	153	7	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	153	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	153	9	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	10	positive	positive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	11	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	153	12	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	153	13	60	60	CD
work_oavbptqpunch5jy27k3m3zb5yi	153	14	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	153	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	153	16	32	32	CD
work_oavbptqpunch5jy27k3m3zb5yi	153	17	male	male	NN
work_oavbptqpunch5jy27k3m3zb5yi	153	18	+28	+28	NNP
work_oavbptqpunch5jy27k3m3zb5yi	153	19	female	female	NN
work_oavbptqpunch5jy27k3m3zb5yi	153	20	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	153	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	153	22	1230	1230	CD
work_oavbptqpunch5jy27k3m3zb5yi	153	23	CT	ct	NN
work_oavbptqpunch5jy27k3m3zb5yi	153	24	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	153	25	Scans	Scans	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	153	26	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	153	27	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	28	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	29	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	30	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	153	31	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	153	32	60	60	CD
work_oavbptqpunch5jy27k3m3zb5yi	153	33	normal	normal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	34	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	153	35	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	153	36	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	153	37	male	male	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	38	+30	+30	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	39	female	female	NN
work_oavbptqpunch5jy27k3m3zb5yi	153	40	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	153	41	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	153	42	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	153	43	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	153	44	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	153	45	negative	negative	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	46	but	but	CC
work_oavbptqpunch5jy27k3m3zb5yi	153	47	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	153	48	have	have	VB
work_oavbptqpunch5jy27k3m3zb5yi	153	49	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	50	pulmonary	pulmonary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	153	51	illnesses	illness	NNS
work_oavbptqpunch5jy27k3m3zb5yi	153	52	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	154	1	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	154	2	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	154	3	shows	show	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	154	4	some	some	DT
work_oavbptqpunch5jy27k3m3zb5yi	154	5	samples	sample	NNS
work_oavbptqpunch5jy27k3m3zb5yi	154	6	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	154	7	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	154	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	154	9	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	154	10	representing	represent	VBG
work_oavbptqpunch5jy27k3m3zb5yi	154	11	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	154	12	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	154	13	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	154	14	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	154	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	154	16	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	154	17	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	154	18	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	154	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	155	1	Convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	155	2	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	155	3	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	155	4	Convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	155	5	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	155	6	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	155	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	155	8	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	9	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	155	10	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	155	11	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	155	12	branch	branch	NN
work_oavbptqpunch5jy27k3m3zb5yi	155	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	155	14	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	15	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	155	16	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	155	17	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	155	18	broadly	broadly	RB
work_oavbptqpunch5jy27k3m3zb5yi	155	19	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	155	20	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	155	21	resolving	resolve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	155	22	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	155	23	problems	problem	NNS
work_oavbptqpunch5jy27k3m3zb5yi	155	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	155	25	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	155	26	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	155	27	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	155	28	health	health	NN
work_oavbptqpunch5jy27k3m3zb5yi	155	29	informatics	informatic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	155	30	field	field	NN
work_oavbptqpunch5jy27k3m3zb5yi	155	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	155	32	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	33	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	34	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	35	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	36	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	155	37	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	155	38	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	155	39	Ravì	Ravì	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	40	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	155	41	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	42	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	155	43	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	155	44	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	155	45	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	155	46	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	156	1	For	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	156	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	156	3	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	156	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	156	5	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	156	6	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	156	7	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	156	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	156	9	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	156	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	156	11	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	156	12	article	article	NN
work_oavbptqpunch5jy27k3m3zb5yi	156	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	157	1	Any	any	DT
work_oavbptqpunch5jy27k3m3zb5yi	157	2	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	157	3	involves	involve	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	157	4	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	157	5	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	157	6	including	include	VBG
work_oavbptqpunch5jy27k3m3zb5yi	157	7	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	157	8	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	157	9	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	157	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	157	11	pooling	pool	VBG
work_oavbptqpunch5jy27k3m3zb5yi	157	12	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	157	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	157	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	157	15	fully	fully	RB
work_oavbptqpunch5jy27k3m3zb5yi	157	16	connected	connect	VBN
work_oavbptqpunch5jy27k3m3zb5yi	157	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	157	18	fc	fc	NN
work_oavbptqpunch5jy27k3m3zb5yi	157	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	157	20	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	157	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	158	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	158	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	158	3	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	158	4	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	158	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	158	6	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	158	7	filters	filter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	158	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	158	9	convolved	convolve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	158	10	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	158	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	158	12	region	region	NN
work_oavbptqpunch5jy27k3m3zb5yi	158	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	158	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	158	15	input	input	NN
work_oavbptqpunch5jy27k3m3zb5yi	158	16	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	158	17	corresponding	correspond	VBG
work_oavbptqpunch5jy27k3m3zb5yi	158	18	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	158	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	158	20	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	158	21	dimension	dimension	NN
work_oavbptqpunch5jy27k3m3zb5yi	158	22	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	158	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	158	24	filter	filter	NN
work_oavbptqpunch5jy27k3m3zb5yi	158	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	159	1	Next	next	RB
work_oavbptqpunch5jy27k3m3zb5yi	159	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	159	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	159	4	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	159	5	map	map	NN
work_oavbptqpunch5jy27k3m3zb5yi	159	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	159	7	created	create	VBN
work_oavbptqpunch5jy27k3m3zb5yi	159	8	representing	represent	VBG
work_oavbptqpunch5jy27k3m3zb5yi	159	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	159	10	position	position	NN
work_oavbptqpunch5jy27k3m3zb5yi	159	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	159	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	159	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	159	14	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	159	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	159	16	original	original	JJ
work_oavbptqpunch5jy27k3m3zb5yi	159	17	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	159	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	160	1	Such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	160	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	160	3	characterize	characterize	VBP
work_oavbptqpunch5jy27k3m3zb5yi	160	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	160	5	spatial	spatial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	160	6	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	160	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	160	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	160	9	pixel	pixel	NN
work_oavbptqpunch5jy27k3m3zb5yi	160	10	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	160	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	160	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	160	13	original	original	JJ
work_oavbptqpunch5jy27k3m3zb5yi	160	14	input	input	NN
work_oavbptqpunch5jy27k3m3zb5yi	160	15	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	160	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	161	1	Then	then	RB
work_oavbptqpunch5jy27k3m3zb5yi	161	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	161	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	161	4	pooling	pool	VBG
work_oavbptqpunch5jy27k3m3zb5yi	161	5	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	161	6	lowers	lower	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	161	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	161	8	huge	huge	JJ
work_oavbptqpunch5jy27k3m3zb5yi	161	9	dimension	dimension	NN
work_oavbptqpunch5jy27k3m3zb5yi	161	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	161	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	161	12	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	161	13	map	map	NN
work_oavbptqpunch5jy27k3m3zb5yi	161	14	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	161	15	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	161	16	down	down	JJ
work_oavbptqpunch5jy27k3m3zb5yi	161	17	sampling	sampling	NN
work_oavbptqpunch5jy27k3m3zb5yi	161	18	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	161	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	162	1	Lastly	lastly	RB
work_oavbptqpunch5jy27k3m3zb5yi	162	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	162	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	162	4	fc	fc	NNP
work_oavbptqpunch5jy27k3m3zb5yi	162	5	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	162	6	accomplishes	accomplish	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	162	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	162	8	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	162	9	procedure	procedure	NN
work_oavbptqpunch5jy27k3m3zb5yi	162	10	similar	similar	JJ
work_oavbptqpunch5jy27k3m3zb5yi	162	11	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	162	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	162	13	conventional	conventional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	162	14	artificial	artificial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	162	15	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	162	16	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	162	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	162	18	ANN	ANN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	162	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	162	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	163	1	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	163	2	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	163	3	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	163	4	either	either	CC
work_oavbptqpunch5jy27k3m3zb5yi	163	5	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	163	6	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	163	7	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	163	8	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	163	9	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	163	10	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	163	11	extractor	extractor	NN
work_oavbptqpunch5jy27k3m3zb5yi	163	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	164	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	164	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	164	3	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	164	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	164	5	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	164	6	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	164	7	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	164	8	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	164	9	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	164	10	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	164	11	extractors	extractor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	164	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	165	1	Such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	165	2	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	165	3	include	include	VBP
work_oavbptqpunch5jy27k3m3zb5yi	165	4	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	6	Krizhevsky	Krizhevsky	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	8	Sutskever	Sutskever	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	9	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	165	10	Hinton	Hinton	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	12	2012	2012	CD
work_oavbptqpunch5jy27k3m3zb5yi	165	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	165	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	16	Dirvanauskas	Dirvanauskas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	17	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	165	18	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	19	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	21	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	165	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	24	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	26	Szegedy	Szegedy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	27	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	28	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	29	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	31	2015	2015	CD
work_oavbptqpunch5jy27k3m3zb5yi	165	32	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	34	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	35	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	36	Girshick	Girshick	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	37	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	165	38	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	39	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	41	2014	2014	CD
work_oavbptqpunch5jy27k3m3zb5yi	165	42	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	43	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	165	44	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	165	45	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	46	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	165	47	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	165	48	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	49	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	165	50	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	165	51	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	165	52	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	165	53	constructions	construction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	165	54	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	166	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	166	2	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	166	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	166	4	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	166	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	166	6	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	166	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	166	8	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	166	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	166	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	166	11	ResNet-18	ResNet-18	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	166	12	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	166	13	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	166	14	illustrated	illustrate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	166	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	166	16	Figs	Figs	NNP
work_oavbptqpunch5jy27k3m3zb5yi	166	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	167	1	2–5	2–5	LS
work_oavbptqpunch5jy27k3m3zb5yi	167	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	167	3	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	167	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	168	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	168	2	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	168	3	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	168	4	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	168	5	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	168	6	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	168	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	168	8	ImageNet	ImageNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	168	9	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	168	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	168	11	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	168	12	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	168	13	1.2	1.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	168	14	million	million	CD
work_oavbptqpunch5jy27k3m3zb5yi	168	15	natural	natural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	168	16	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	168	17	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	168	18	1,000-labelled	1,000-labelled	CD
work_oavbptqpunch5jy27k3m3zb5yi	168	19	classes	class	NNS
work_oavbptqpunch5jy27k3m3zb5yi	168	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	169	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	169	2	transfer	transfer	NN
work_oavbptqpunch5jy27k3m3zb5yi	169	3	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	169	4	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	169	5	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	169	6	performed	perform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	169	7	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	169	8	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	169	9	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	169	10	so	so	IN
work_oavbptqpunch5jy27k3m3zb5yi	169	11	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	169	12	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	169	13	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	169	14	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	169	15	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	169	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	169	17	any	any	DT
work_oavbptqpunch5jy27k3m3zb5yi	169	18	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	169	19	problem	problem	NN
work_oavbptqpunch5jy27k3m3zb5yi	169	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	170	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	170	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	170	3	implemented	implement	VBN
work_oavbptqpunch5jy27k3m3zb5yi	170	4	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	170	5	replacing	replace	VBG
work_oavbptqpunch5jy27k3m3zb5yi	170	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	170	7	last	last	JJ
work_oavbptqpunch5jy27k3m3zb5yi	170	8	fully	fully	RB
work_oavbptqpunch5jy27k3m3zb5yi	170	9	connected	connected	JJ
work_oavbptqpunch5jy27k3m3zb5yi	170	10	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	170	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	170	12	any	any	DT
work_oavbptqpunch5jy27k3m3zb5yi	170	13	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	170	14	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	170	15	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	170	16	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	170	17	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	170	18	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	170	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	170	20	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	170	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	170	22	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	170	23	classes	class	NNS
work_oavbptqpunch5jy27k3m3zb5yi	170	24	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	170	25	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	170	26	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	170	27	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	170	28	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	170	29	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	170	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	171	1	To	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	171	2	our	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	171	3	knowledge	knowledge	NN
work_oavbptqpunch5jy27k3m3zb5yi	171	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	171	5	according	accord	VBG
work_oavbptqpunch5jy27k3m3zb5yi	171	6	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	171	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	171	8	literature	literature	NN
work_oavbptqpunch5jy27k3m3zb5yi	171	9	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	171	10	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	171	11	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	171	12	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	171	13	yet	yet	RB
work_oavbptqpunch5jy27k3m3zb5yi	171	14	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	171	15	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	171	16	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	171	17	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	171	18	extractors	extractor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	171	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	171	20	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	171	21	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	171	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	172	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	172	2	summary	summary	NN
work_oavbptqpunch5jy27k3m3zb5yi	172	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	172	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	172	5	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	172	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	172	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	172	8	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	172	9	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	172	10	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	172	11	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	172	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	172	13	Table	Table	NNP
work_oavbptqpunch5jy27k3m3zb5yi	172	14	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	172	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	173	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	173	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	173	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	173	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	173	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	173	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	173	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	173	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	173	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	173	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	174	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	174	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	174	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	174	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	174	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	174	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	174	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	174	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	174	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	174	10	7/30	7/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	174	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	174	13	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	174	14	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	174	15	computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	16	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	174	17	aided	aid	VBN
work_oavbptqpunch5jy27k3m3zb5yi	174	18	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	19	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	20	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	174	21	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	174	22	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	174	23	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	24	consists	consist	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	174	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	174	26	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	174	27	steps	step	NNS
work_oavbptqpunch5jy27k3m3zb5yi	174	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	174	29	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	174	30	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	174	31	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	32	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	174	34	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	35	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	36	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	174	37	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	38	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	39	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	174	40	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	174	41	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	174	42	classifications	classification	NNS
work_oavbptqpunch5jy27k3m3zb5yi	174	43	steps	step	NNS
work_oavbptqpunch5jy27k3m3zb5yi	174	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	175	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	175	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	175	3	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	175	4	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	175	5	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	175	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	175	7	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	175	8	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	175	9	enhanced	enhance	VBN
work_oavbptqpunch5jy27k3m3zb5yi	175	10	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	175	11	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	175	12	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	175	13	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	175	14	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	175	15	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	175	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	176	1	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	176	2	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	176	3	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	176	4	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	176	5	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	176	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	177	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	177	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	177	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	177	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	177	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	177	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	177	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	177	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	177	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	177	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	177	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	177	12	fig-2	fig-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	177	13	Figure	Figure	NNP
work_oavbptqpunch5jy27k3m3zb5yi	177	14	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	177	15	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	177	16	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	177	17	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	177	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	178	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	178	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	178	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	178	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	178	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	178	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	178	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	178	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	178	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	178	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	178	11	/	/	NFP
work_oavbptqpunch5jy27k3m3zb5yi	178	12	fig-3	fig-3	NFP
work_oavbptqpunch5jy27k3m3zb5yi	178	13	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	178	14	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	178	15	Samples	sample	NNS
work_oavbptqpunch5jy27k3m3zb5yi	178	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	178	17	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	178	18	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	178	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	178	20	A)–(C	a)–(c	NN
work_oavbptqpunch5jy27k3m3zb5yi	178	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	178	22	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	178	23	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	178	24	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	178	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	178	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	178	27	D)–(F	d)–(f	VB
work_oavbptqpunch5jy27k3m3zb5yi	178	28	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	178	29	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	178	30	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	178	31	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	178	32	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	178	33	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	178	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	179	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	179	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	179	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	179	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	179	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	179	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	179	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	179	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	179	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	179	12	fig-1	fig-1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	179	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	179	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	179	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	179	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	179	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	179	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	180	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	180	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	180	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	180	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	180	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	10	8/30	8/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	180	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-2	http://dx.doi.org/10.7717/peerj-cs.306/fig-2	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	180	12	http://dx.doi.org/10.7717/peerj-cs.306/fig-3	http://dx.doi.org/10.7717/peerj-cs.306/fig-3	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	13	http://dx.doi.org/10.7717/peerj-cs.306/fig-1	http://dx.doi.org/10.7717/peerj-cs.306/fig-1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	180	14	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	180	15	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_oavbptqpunch5jy27k3m3zb5yi	180	16	Afterward	afterward	RB
work_oavbptqpunch5jy27k3m3zb5yi	180	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	180	18	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	180	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	180	20	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	180	21	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	180	22	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	180	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	180	24	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	180	25	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	180	26	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	180	27	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	180	28	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	180	29	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	180	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	181	1	First	first	RB
work_oavbptqpunch5jy27k3m3zb5yi	181	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	181	3	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	181	4	pre	pre	JJ
work_oavbptqpunch5jy27k3m3zb5yi	181	5	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	181	6	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	181	7	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	181	8	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	181	9	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	181	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	181	11	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	181	12	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	181	13	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	181	14	extractors	extractor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	181	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	182	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	182	2	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	182	3	include	include	VBP
work_oavbptqpunch5jy27k3m3zb5yi	182	4	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	182	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	182	6	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	182	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	182	8	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	182	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	182	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	182	11	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	182	12	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	182	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	183	1	Second	second	JJ
work_oavbptqpunch5jy27k3m3zb5yi	183	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	183	3	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	183	4	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	183	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	183	6	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	183	7	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	183	8	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	183	9	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	183	10	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	183	11	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	183	12	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	183	13	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	183	14	extract	extract	VB
work_oavbptqpunch5jy27k3m3zb5yi	183	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	183	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	183	17	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	183	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	183	19	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	183	20	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	183	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	184	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	184	2	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	184	3	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	184	4	consist	consist	VBP
work_oavbptqpunch5jy27k3m3zb5yi	184	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	184	6	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	184	7	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	184	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	184	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	184	10	textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	184	11	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	12	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	184	13	;	;	,
work_oavbptqpunch5jy27k3m3zb5yi	184	14	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	184	15	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	184	16	discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	184	17	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	18	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	184	20	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	184	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	184	23	grey	grey	JJ
work_oavbptqpunch5jy27k3m3zb5yi	184	24	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	25	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	26	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	27	occurrence	occurrence	JJ
work_oavbptqpunch5jy27k3m3zb5yi	184	28	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	184	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	184	30	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	184	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	184	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	185	1	Next	next	RB
work_oavbptqpunch5jy27k3m3zb5yi	185	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	185	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	185	4	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	185	5	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	185	6	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	185	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	185	8	where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	185	9	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	185	10	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	185	11	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	185	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	185	13	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	185	14	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	185	15	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	185	16	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	185	17	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	185	18	ResNet-18	resnet-18	CD
work_oavbptqpunch5jy27k3m3zb5yi	185	19	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	185	20	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	185	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	186	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	186	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	186	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	186	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	186	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	186	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	186	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	186	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	186	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	186	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	186	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	186	12	fig-5	fig-5	NNP
work_oavbptqpunch5jy27k3m3zb5yi	186	13	Figure	Figure	NNP
work_oavbptqpunch5jy27k3m3zb5yi	186	14	4	4	CD
work_oavbptqpunch5jy27k3m3zb5yi	186	15	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	186	16	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	186	17	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	186	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	187	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	187	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	187	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	187	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	187	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	187	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	187	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	187	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	187	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	187	12	fig-4	fig-4	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	187	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	187	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	187	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	187	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	187	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	187	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	188	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	188	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	188	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	188	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	188	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	10	9/30	9/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	188	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-5	http://dx.doi.org/10.7717/peerj-cs.306/fig-5	CD
work_oavbptqpunch5jy27k3m3zb5yi	188	12	http://dx.doi.org/10.7717/peerj-cs.306/fig-4	http://dx.doi.org/10.7717/peerj-cs.306/fig-4	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	13	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	188	14	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	188	15	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	16	Stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	188	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	188	18	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	188	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	188	20	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	188	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	188	22	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	188	23	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	188	24	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	188	25	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	188	26	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	188	27	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	188	28	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	188	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	188	30	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	188	31	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	188	32	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	188	33	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	188	34	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	188	35	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	188	36	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	188	37	fine	fine	RB
work_oavbptqpunch5jy27k3m3zb5yi	188	38	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	188	39	tuned	tune	VBN
work_oavbptqpunch5jy27k3m3zb5yi	188	40	pre	pre	JJ
work_oavbptqpunch5jy27k3m3zb5yi	188	41	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	188	42	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	188	43	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	188	44	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	188	45	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	188	46	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	189	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	189	2	influence	influence	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	189	4	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	189	5	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	6	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	189	8	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	189	9	examined	examine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	189	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	189	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	189	12	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	189	14	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	189	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	189	16	therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	189	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	189	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	189	19	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	189	20	part	part	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	21	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	189	22	investigating	investigate	VBG
work_oavbptqpunch5jy27k3m3zb5yi	189	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	189	24	impact	impact	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	189	26	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	189	27	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	189	28	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	189	29	identifying	identify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	189	30	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	189	31	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	189	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	190	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	190	2	Stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	190	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	190	4	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	190	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	190	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	190	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	190	8	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	190	9	features	features	NNP
work_oavbptqpunch5jy27k3m3zb5yi	190	10	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	190	11	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	190	12	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	190	13	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	190	14	carried	carry	VBD
work_oavbptqpunch5jy27k3m3zb5yi	190	15	out	out	RP
work_oavbptqpunch5jy27k3m3zb5yi	190	16	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	190	17	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	190	18	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	190	19	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	190	20	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	190	21	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	190	22	extractors	extractor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	190	23	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	190	24	mentioned	mention	VBN
work_oavbptqpunch5jy27k3m3zb5yi	190	25	previously	previously	RB
work_oavbptqpunch5jy27k3m3zb5yi	190	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	191	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	191	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	191	3	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	191	4	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	191	5	studied	study	VBN
work_oavbptqpunch5jy27k3m3zb5yi	191	6	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	191	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	191	8	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	191	9	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	191	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	191	11	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	191	12	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	191	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	191	14	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	191	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	192	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	192	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	192	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	192	4	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	192	5	part	part	NN
work_oavbptqpunch5jy27k3m3zb5yi	192	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	192	7	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	192	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	192	9	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	192	10	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	192	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	192	12	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	192	13	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	192	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	192	15	investigating	investigate	VBG
work_oavbptqpunch5jy27k3m3zb5yi	192	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	192	17	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	192	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	192	19	combining	combine	VBG
work_oavbptqpunch5jy27k3m3zb5yi	192	20	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	192	21	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	192	22	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	192	23	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	192	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	192	25	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	192	26	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	192	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	193	1	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	193	2	Stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	193	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	193	4	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	193	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	193	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	193	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	193	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	193	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	193	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	193	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	193	12	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	193	13	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	193	14	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	193	15	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	193	16	implemented	implement	VBN
work_oavbptqpunch5jy27k3m3zb5yi	193	17	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	193	18	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	193	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	193	20	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	193	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	193	22	both	both	PDT
work_oavbptqpunch5jy27k3m3zb5yi	193	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	193	24	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	193	25	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	193	26	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	193	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	193	28	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	193	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	193	30	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	193	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	193	32	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	193	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	193	34	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	193	35	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	193	36	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	193	37	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	193	38	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	193	39	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	193	40	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	193	41	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	193	42	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	194	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	194	2	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	194	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	194	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	194	5	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	194	6	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	194	7	conducted	conduct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	194	8	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	194	9	verify	verify	VB
work_oavbptqpunch5jy27k3m3zb5yi	194	10	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	194	11	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	194	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	194	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	194	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	194	15	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	194	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	194	17	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	194	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	194	19	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	194	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	194	21	2	2	LS
work_oavbptqpunch5jy27k3m3zb5yi	194	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	194	23	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	194	24	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	194	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	194	26	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	194	27	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	194	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	194	29	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	194	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	195	1	To	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	195	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	195	3	best	good	JJS
work_oavbptqpunch5jy27k3m3zb5yi	195	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	195	5	our	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	195	6	knowledge	knowledge	NN
work_oavbptqpunch5jy27k3m3zb5yi	195	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	195	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	195	9	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	195	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	195	11	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	195	12	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	195	13	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	195	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	195	15	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	195	16	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	195	17	examined	examine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	195	18	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	195	19	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	195	20	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	195	21	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	195	22	discussing	discuss	VBG
work_oavbptqpunch5jy27k3m3zb5yi	195	23	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	195	24	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	195	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	196	1	Finally	finally	RB
work_oavbptqpunch5jy27k3m3zb5yi	196	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	196	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	196	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	196	5	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	6	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	196	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	196	9	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	196	10	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	196	11	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	196	12	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	196	13	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	196	14	construct	construct	VB
work_oavbptqpunch5jy27k3m3zb5yi	196	15	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	16	models	model	NNS
work_oavbptqpunch5jy27k3m3zb5yi	196	17	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	196	18	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	196	19	support	support	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	20	vector	vector	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	21	machine	machine	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	22	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	196	23	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	196	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	196	25	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	196	26	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	196	27	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	28	function	function	NN
work_oavbptqpunch5jy27k3m3zb5yi	196	29	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	196	30	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	196	31	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	196	32	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	196	33	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	196	34	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	196	35	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	196	36	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	196	37	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	196	38	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	196	39	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	197	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	197	2	framework	framework	NN
work_oavbptqpunch5jy27k3m3zb5yi	197	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	197	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	197	5	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	197	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	197	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	197	8	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	197	9	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	197	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	197	11	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	197	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	198	1	6	6	CD
work_oavbptqpunch5jy27k3m3zb5yi	198	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	199	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	199	2	steps	step	NNS
work_oavbptqpunch5jy27k3m3zb5yi	199	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	199	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	199	5	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	199	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	199	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	199	8	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	199	9	discussed	discuss	VBN
work_oavbptqpunch5jy27k3m3zb5yi	199	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	199	11	detail	detail	NN
work_oavbptqpunch5jy27k3m3zb5yi	199	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	199	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	199	14	following	follow	VBG
work_oavbptqpunch5jy27k3m3zb5yi	199	15	sub	sub	NN
work_oavbptqpunch5jy27k3m3zb5yi	199	16	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	199	17	sections	section	NNS
work_oavbptqpunch5jy27k3m3zb5yi	199	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	200	1	Image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	2	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	3	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	4	Image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	5	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	200	7	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	200	8	important	important	JJ
work_oavbptqpunch5jy27k3m3zb5yi	200	9	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	10	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	200	11	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	200	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	200	13	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	14	quality	quality	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	200	16	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	200	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	200	19	remove	remove	VB
work_oavbptqpunch5jy27k3m3zb5yi	200	20	noise	noise	NN
work_oavbptqpunch5jy27k3m3zb5yi	200	21	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	200	22	help	help	VB
work_oavbptqpunch5jy27k3m3zb5yi	200	23	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	200	24	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	200	25	identifying	identify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	200	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	200	27	abnormalities	abnormality	NNS
work_oavbptqpunch5jy27k3m3zb5yi	200	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	201	1	There	there	EX
work_oavbptqpunch5jy27k3m3zb5yi	201	2	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	201	3	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	201	4	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	201	5	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	201	6	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	201	7	;	;	,
work_oavbptqpunch5jy27k3m3zb5yi	201	8	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	201	9	them	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	201	10	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	201	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	201	12	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	201	13	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	201	14	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	201	15	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	201	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	201	17	AHE	AHE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	201	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	201	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	202	1	AHE	AHE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	202	2	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	202	3	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	202	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	202	5	ability	ability	NN
work_oavbptqpunch5jy27k3m3zb5yi	202	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	202	7	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	202	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	202	9	local	local	JJ
work_oavbptqpunch5jy27k3m3zb5yi	202	10	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	202	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	202	12	express	express	VB
work_oavbptqpunch5jy27k3m3zb5yi	202	13	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	202	14	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	202	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	202	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	202	17	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	202	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	203	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	203	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	203	3	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	203	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	203	6	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	203	8	limited	limited	JJ
work_oavbptqpunch5jy27k3m3zb5yi	203	9	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	203	10	histogram	histogram	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	11	equalization	equalization	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	12	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	203	14	CLAHE	CLAHE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	15	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	203	16	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	203	17	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	203	18	subclass	subclass	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	203	20	AHE	AHE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	21	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	203	22	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	203	23	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	203	24	enhance	enhance	VB
work_oavbptqpunch5jy27k3m3zb5yi	203	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	203	26	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	203	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	203	28	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	203	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	203	30	M.Pizer	M.Pizer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	31	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	32	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	33	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	203	35	1987	1987	CD
work_oavbptqpunch5jy27k3m3zb5yi	203	36	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	203	37	Pisano	Pisano	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	38	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	39	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	40	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	203	41	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	203	42	1998	1998	CD
work_oavbptqpunch5jy27k3m3zb5yi	203	43	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	203	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	204	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	204	2	CLAHE	CLAHE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	204	3	algorithm	algorithm	NN
work_oavbptqpunch5jy27k3m3zb5yi	204	4	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	204	5	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	204	6	summarized	summarize	VBN
work_oavbptqpunch5jy27k3m3zb5yi	204	7	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	204	8	follows	follow	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	204	9	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	204	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	204	11	Sahakyan	Sahakyan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	204	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	204	13	2012	2012	CD
work_oavbptqpunch5jy27k3m3zb5yi	204	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	204	15	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	204	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	205	1	Split	split	VB
work_oavbptqpunch5jy27k3m3zb5yi	205	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	205	3	original	original	JJ
work_oavbptqpunch5jy27k3m3zb5yi	205	4	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	205	5	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	205	6	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	205	7	contextual	contextual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	205	8	areas	area	NNS
work_oavbptqpunch5jy27k3m3zb5yi	205	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	205	10	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	205	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	206	1	Find	find	VB
work_oavbptqpunch5jy27k3m3zb5yi	206	2	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	206	3	local	local	JJ
work_oavbptqpunch5jy27k3m3zb5yi	206	4	histogram	histogram	NN
work_oavbptqpunch5jy27k3m3zb5yi	206	5	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	206	6	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	206	7	pixel	pixel	NN
work_oavbptqpunch5jy27k3m3zb5yi	206	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	206	9	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	206	10	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	206	11	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	206	12	summary	summary	NN
work_oavbptqpunch5jy27k3m3zb5yi	206	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	206	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	206	15	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	206	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	206	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	206	18	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	206	19	pre	pre	JJ
work_oavbptqpunch5jy27k3m3zb5yi	206	20	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	206	21	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	206	22	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	206	23	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	206	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	207	1	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	2	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	207	3	Number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	207	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	207	5	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	207	6	Input	input	NN
work_oavbptqpunch5jy27k3m3zb5yi	207	7	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	207	8	Output	output	NN
work_oavbptqpunch5jy27k3m3zb5yi	207	9	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	207	10	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	11	8	8	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	12	227	227	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	13	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	14	227	227	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	15	4,096	4,096	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	16	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	17	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	18	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	19	22	22	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	20	224	224	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	21	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	22	224	224	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	23	1,024	1,024	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	24	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	25	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	26	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	27	50	50	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	28	224	224	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	29	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	30	224	224	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	31	544	544	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	32	×	×	NNS
work_oavbptqpunch5jy27k3m3zb5yi	207	33	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	34	ResNet-18	resnet-18	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	35	18	18	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	36	224	224	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	37	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	38	224	224	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	39	512	512	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	40	×	×	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	41	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	42	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	43	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	207	44	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	45	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	207	46	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	207	47	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	207	48	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	207	49	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	50	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	207	51	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	208	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	208	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	208	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	208	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	208	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	208	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	208	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	208	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	208	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	208	10	10/30	10/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	208	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	208	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	208	13	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	208	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	209	1	Bound	Bound	NNP
work_oavbptqpunch5jy27k3m3zb5yi	209	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	209	3	histogram	histogram	NN
work_oavbptqpunch5jy27k3m3zb5yi	209	4	established	establish	VBD
work_oavbptqpunch5jy27k3m3zb5yi	209	5	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	209	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	209	7	clip	clip	NN
work_oavbptqpunch5jy27k3m3zb5yi	209	8	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	209	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	209	10	4	4	CD
work_oavbptqpunch5jy27k3m3zb5yi	209	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	210	1	Reorganize	reorganize	VB
work_oavbptqpunch5jy27k3m3zb5yi	210	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	210	3	histogram	histogram	NN
work_oavbptqpunch5jy27k3m3zb5yi	210	4	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	210	5	binary	binary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	210	6	examination	examination	NN
work_oavbptqpunch5jy27k3m3zb5yi	210	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	210	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	210	9	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	210	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	211	1	Get	get	VB
work_oavbptqpunch5jy27k3m3zb5yi	211	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	211	3	enhanced	enhanced	JJ
work_oavbptqpunch5jy27k3m3zb5yi	211	4	pixel	pixel	NN
work_oavbptqpunch5jy27k3m3zb5yi	211	5	value	value	NN
work_oavbptqpunch5jy27k3m3zb5yi	211	6	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	211	7	histogram	histogram	NNP
work_oavbptqpunch5jy27k3m3zb5yi	211	8	integration	integration	NN
work_oavbptqpunch5jy27k3m3zb5yi	211	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	212	1	Feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	212	2	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	212	3	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	212	4	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	212	5	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	212	6	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	212	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	212	8	handcrafted	handcraft	VBD
work_oavbptqpunch5jy27k3m3zb5yi	212	9	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	212	10	along	along	RB
work_oavbptqpunch5jy27k3m3zb5yi	212	11	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	212	12	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	212	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	212	14	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	212	15	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	212	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	213	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	213	2	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	213	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	213	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	213	5	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	213	6	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	213	7	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	213	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	213	9	illustrated	illustrate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	213	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	213	11	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	213	12	subsection	subsection	NN
work_oavbptqpunch5jy27k3m3zb5yi	213	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	214	1	Handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	214	2	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	3	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	4	Texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	5	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	6	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	7	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	8	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	214	9	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	214	10	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	214	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	214	12	known	know	VBN
work_oavbptqpunch5jy27k3m3zb5yi	214	13	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	214	14	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	214	15	mining	mining	NN
work_oavbptqpunch5jy27k3m3zb5yi	214	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	214	17	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	214	18	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	214	19	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	214	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	214	21	Castellano	Castellano	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	22	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	214	23	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	24	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	214	26	2004	2004	CD
work_oavbptqpunch5jy27k3m3zb5yi	214	27	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	214	28	Kassner	Kassner	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	29	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	214	30	Thornhill	Thornhill	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	214	32	2010	2010	CD
work_oavbptqpunch5jy27k3m3zb5yi	214	33	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	214	34	Lahmiri	Lahmiri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	35	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	214	36	Boukadoum	Boukadoum	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	214	38	2013	2013	CD
work_oavbptqpunch5jy27k3m3zb5yi	214	39	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	214	40	Depeursinge	Depeursinge	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	41	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	214	42	Al	Al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	43	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	214	44	Kadi	Kadi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	45	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	214	46	Ross	Ross	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	47	Mitchell	Mitchell	NNP
work_oavbptqpunch5jy27k3m3zb5yi	214	48	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	214	49	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	214	50	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	214	51	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	215	1	Such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	215	2	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	215	3	depend	depend	VBP
work_oavbptqpunch5jy27k3m3zb5yi	215	4	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	215	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	215	6	textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	215	7	characteristics	characteristic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	215	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	215	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	215	10	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	215	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	216	1	Textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	216	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	216	3	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	4	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	216	5	include	include	VBP
work_oavbptqpunch5jy27k3m3zb5yi	216	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	216	7	discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	216	8	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	9	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	216	11	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	216	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	216	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	216	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	216	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	216	16	gray	gray	JJ
work_oavbptqpunch5jy27k3m3zb5yi	216	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	216	18	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	19	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	20	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	21	occurrence	occurrence	JJ
work_oavbptqpunch5jy27k3m3zb5yi	216	22	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	216	23	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	216	24	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	216	25	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	216	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	217	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	217	2	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	217	3	usually	usually	RB
work_oavbptqpunch5jy27k3m3zb5yi	217	4	yield	yield	VBP
work_oavbptqpunch5jy27k3m3zb5yi	217	5	reasonable	reasonable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	217	6	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	217	7	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	217	8	especially	especially	RB
work_oavbptqpunch5jy27k3m3zb5yi	217	9	when	when	WRB
work_oavbptqpunch5jy27k3m3zb5yi	217	10	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	217	11	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	217	12	combined	combine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	217	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	217	14	Nailon	Nailon	NNP
work_oavbptqpunch5jy27k3m3zb5yi	217	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	217	16	2010	2010	CD
work_oavbptqpunch5jy27k3m3zb5yi	217	17	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	217	18	Lahmiri	Lahmiri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	217	19	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	217	20	Boukadoum	Boukadoum	NNP
work_oavbptqpunch5jy27k3m3zb5yi	217	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	217	22	2013	2013	CD
work_oavbptqpunch5jy27k3m3zb5yi	217	23	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	217	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	218	1	For	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	218	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	218	3	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	218	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	218	5	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	218	6	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	218	7	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	218	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	218	9	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	218	10	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	218	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	218	12	extract	extract	VB
work_oavbptqpunch5jy27k3m3zb5yi	218	13	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	218	14	subsets	subset	NNS
work_oavbptqpunch5jy27k3m3zb5yi	218	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	218	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	218	17	along	along	IN
work_oavbptqpunch5jy27k3m3zb5yi	218	18	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	218	19	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	218	20	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	218	21	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	218	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	218	23	spatial	spatial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	218	24	domain	domain	NN
work_oavbptqpunch5jy27k3m3zb5yi	218	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	219	1	Statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	219	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	219	3	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	219	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	219	5	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	219	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	219	7	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	219	8	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	219	9	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	219	10	divided	divide	VBN
work_oavbptqpunch5jy27k3m3zb5yi	219	11	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	219	12	blocks	block	NNS
work_oavbptqpunch5jy27k3m3zb5yi	219	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	219	14	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	219	15	32	32	CD
work_oavbptqpunch5jy27k3m3zb5yi	219	16	×	×	NNS
work_oavbptqpunch5jy27k3m3zb5yi	219	17	32	32	CD
work_oavbptqpunch5jy27k3m3zb5yi	219	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	220	1	Afterward	afterward	RB
work_oavbptqpunch5jy27k3m3zb5yi	220	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	220	3	eight	eight	CD
work_oavbptqpunch5jy27k3m3zb5yi	220	4	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	220	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	220	6	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	220	7	calculated	calculate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	220	8	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	220	9	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	220	10	block	block	NN
work_oavbptqpunch5jy27k3m3zb5yi	220	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	220	12	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	220	13	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	220	14	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	220	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	220	16	spatial	spatial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	220	17	domain	domain	NN
work_oavbptqpunch5jy27k3m3zb5yi	220	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	221	1	Next	next	RB
work_oavbptqpunch5jy27k3m3zb5yi	221	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	221	3	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	221	4	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	221	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	221	6	all	all	DT
work_oavbptqpunch5jy27k3m3zb5yi	221	7	blocks	block	NNS
work_oavbptqpunch5jy27k3m3zb5yi	221	8	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	221	9	combined	combine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	221	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	221	11	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	221	12	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	221	13	vector	vector	NN
work_oavbptqpunch5jy27k3m3zb5yi	221	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	222	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	222	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	222	3	include	include	VBP
work_oavbptqpunch5jy27k3m3zb5yi	222	4	entropy	entropy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	222	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	6	mean	mean	JJ
work_oavbptqpunch5jy27k3m3zb5yi	222	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	8	standard	standard	JJ
work_oavbptqpunch5jy27k3m3zb5yi	222	9	deviation	deviation	NN
work_oavbptqpunch5jy27k3m3zb5yi	222	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	11	variance	variance	NN
work_oavbptqpunch5jy27k3m3zb5yi	222	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	13	root	root	NN
work_oavbptqpunch5jy27k3m3zb5yi	222	14	mean	mean	NNP
work_oavbptqpunch5jy27k3m3zb5yi	222	15	square	square	NN
work_oavbptqpunch5jy27k3m3zb5yi	222	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	222	17	RMS	RMS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	222	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	222	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	20	minimum	minimum	JJ
work_oavbptqpunch5jy27k3m3zb5yi	222	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	22	maximum	maximum	JJ
work_oavbptqpunch5jy27k3m3zb5yi	222	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	222	24	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	222	25	range	range	VB
work_oavbptqpunch5jy27k3m3zb5yi	222	26	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	222	27	defined	define	VBN
work_oavbptqpunch5jy27k3m3zb5yi	222	28	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	222	29	Eqs	Eqs	NNP
work_oavbptqpunch5jy27k3m3zb5yi	222	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	223	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	223	2	1)–(6	1)–(6	NNP
work_oavbptqpunch5jy27k3m3zb5yi	223	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	223	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	224	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	224	2	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	224	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	224	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	224	5	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	224	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	224	7	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	224	8	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	224	9	512	512	CD
work_oavbptqpunch5jy27k3m3zb5yi	224	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	225	1	Entropy	entropy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	225	2	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	225	3	�	�	.
work_oavbptqpunch5jy27k3m3zb5yi	225	4	Xn	Xn	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	5	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	6	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	225	7	i¼0	i¼0	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	8	pri	pri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	9	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	10	log	log	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	11	pri	pri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	225	12	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	225	13	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	225	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	225	15	where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	225	16	n	n	PRP
work_oavbptqpunch5jy27k3m3zb5yi	225	17	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	225	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	225	19	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	225	20	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	225	21	grey	grey	JJ
work_oavbptqpunch5jy27k3m3zb5yi	225	22	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	225	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	226	1	pri	pri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	226	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	226	4	probability	probability	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	226	6	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	226	7	pixel	pixel	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	8	having	have	VBG
work_oavbptqpunch5jy27k3m3zb5yi	226	9	gray	gray	JJ
work_oavbptqpunch5jy27k3m3zb5yi	226	10	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	11	i.	i.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	12	MeanðmzÞ	MeanðmzÞ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	13	¼	¼	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	14	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	226	15	FG	FG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	16	XFG	XFG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	17	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	226	18	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	226	19	j¼1	j¼1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	20	pz	pz	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	21	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	226	22	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	226	23	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	24	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	226	26	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	226	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	226	28	where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	226	29	pz	pz	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	226	31	i	i	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	32	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	226	33	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	34	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	226	35	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	226	36	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	226	37	pixels	pixel	NNS
work_oavbptqpunch5jy27k3m3zb5yi	226	38	value	value	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	39	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	226	40	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	226	41	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	42	block	block	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	43	z	z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	44	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	226	45	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	46	×	×	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	47	G	G	NNP
work_oavbptqpunch5jy27k3m3zb5yi	226	48	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	226	49	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	226	50	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	51	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	226	52	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	226	53	block	block	NN
work_oavbptqpunch5jy27k3m3zb5yi	226	54	z.	z.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	1	Standard	standard	JJ
work_oavbptqpunch5jy27k3m3zb5yi	227	2	deviation	deviation	NN
work_oavbptqpunch5jy27k3m3zb5yi	227	3	szð	szð	NN
work_oavbptqpunch5jy27k3m3zb5yi	227	4	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	5	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	227	6	ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi	ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	7	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	227	8	FG	FG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	9	XFG	XFG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	10	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	227	11	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	227	12	j¼1	j¼1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	13	pz	pz	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	14	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	227	15	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	227	16	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	17	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	18	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	19	mzð	mzð	NN
work_oavbptqpunch5jy27k3m3zb5yi	227	20	Þ2	Þ2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	21	vuut	vuut	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	22	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	227	23	3	3	LS
work_oavbptqpunch5jy27k3m3zb5yi	227	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	227	25	Variance	Variance	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	26	s2z	s2z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	27	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	28	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	29	¼	¼	JJ
work_oavbptqpunch5jy27k3m3zb5yi	227	30	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	227	31	FG	FG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	32	XFG	XFG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	33	i;j¼1	i;j¼1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	34	pz	pz	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	35	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	227	36	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	227	37	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	38	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	39	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	40	mzð	mzð	NN
work_oavbptqpunch5jy27k3m3zb5yi	227	41	Þ2	Þ2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	227	43	4	4	LS
work_oavbptqpunch5jy27k3m3zb5yi	227	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	227	45	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	46	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	227	47	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	48	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	227	49	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	227	50	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	227	51	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	227	52	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	53	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	227	54	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	228	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	228	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	228	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	228	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	228	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	10	11/30	11/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	228	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	228	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	13	RMS	RMS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	14	¼	¼	JJ
work_oavbptqpunch5jy27k3m3zb5yi	228	15	ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiXF	ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffixf	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	16	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	228	17	G	g	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	18	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	228	19	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	228	20	j¼1	j¼1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	21	mz	mz	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	22	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	228	23	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	228	24	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	25	Þj	Þj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	26	j2	j2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	27	vuut	vuut	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	29	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	228	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	31	Range	Range	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	32	ðRzÞ	ðRzÞ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	33	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	34	pzmax	pzmax	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	35	�	�	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	228	36	pzmin	pzmin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	37	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	38	6	6	CD
work_oavbptqpunch5jy27k3m3zb5yi	228	39	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	40	Where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	228	41	pzmax	pzmax	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	42	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	228	43	pzmin	pzmin	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	44	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	228	45	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	228	46	maximal	maximal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	228	47	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	228	48	minimal	minimal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	228	49	pixel	pixel	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	50	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	228	51	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	228	52	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	228	53	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	54	block	block	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	55	z.	z.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	56	Discrete	Discrete	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	57	Wavelet	Wavelet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	58	Transform	Transform	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	59	Discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	228	60	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	61	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	62	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	63	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	64	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	65	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	228	66	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	228	67	common	common	JJ
work_oavbptqpunch5jy27k3m3zb5yi	228	68	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	69	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	228	70	extract	extract	VB
work_oavbptqpunch5jy27k3m3zb5yi	228	71	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	228	72	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	228	73	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	228	74	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	228	75	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	76	processing	processing	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	77	field	field	NN
work_oavbptqpunch5jy27k3m3zb5yi	228	78	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	79	Lahmiri	Lahmiri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	80	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	228	81	Boukadoum	Boukadoum	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	82	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	228	83	2013	2013	CD
work_oavbptqpunch5jy27k3m3zb5yi	228	84	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	228	85	Srivastava	Srivastava	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	86	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	228	87	Purwar	Purwar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	228	88	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	228	89	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	228	90	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	228	91	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	229	1	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	229	2	provides	provide	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	229	3	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	229	4	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	229	5	frequencies	frequency	NNS
work_oavbptqpunch5jy27k3m3zb5yi	229	6	demonstration	demonstration	NN
work_oavbptqpunch5jy27k3m3zb5yi	229	7	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	229	8	decomposing	decompose	VBG
work_oavbptqpunch5jy27k3m3zb5yi	229	9	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	229	10	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	229	11	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	229	12	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	229	13	set	set	NN
work_oavbptqpunch5jy27k3m3zb5yi	229	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	229	15	orthogonal	orthogonal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	229	16	basis	basis	NN
work_oavbptqpunch5jy27k3m3zb5yi	229	17	functions	function	NNS
work_oavbptqpunch5jy27k3m3zb5yi	229	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	229	19	Ortho	Ortho	NNP
work_oavbptqpunch5jy27k3m3zb5yi	229	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	229	21	normal	normal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	229	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	229	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	230	1	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	230	2	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	230	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	230	4	set	set	NN
work_oavbptqpunch5jy27k3m3zb5yi	230	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	230	6	transforms	transform	NNS
work_oavbptqpunch5jy27k3m3zb5yi	230	7	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	230	8	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	230	9	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	230	10	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	230	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	230	12	wavelet	wavelet	JJ
work_oavbptqpunch5jy27k3m3zb5yi	230	13	basis	basis	NN
work_oavbptqpunch5jy27k3m3zb5yi	230	14	functions	function	NNS
work_oavbptqpunch5jy27k3m3zb5yi	230	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	231	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	231	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	231	3	case	case	NN
work_oavbptqpunch5jy27k3m3zb5yi	231	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	231	5	2-D	2-d	CD
work_oavbptqpunch5jy27k3m3zb5yi	231	6	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	231	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	231	8	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	231	9	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	231	10	2-D	2-d	CD
work_oavbptqpunch5jy27k3m3zb5yi	231	11	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	231	12	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	231	13	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	231	14	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	231	15	where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	231	16	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	231	17	1D	1D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	231	18	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	231	19	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	231	20	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	231	21	applied	apply	VBN
work_oavbptqpunch5jy27k3m3zb5yi	231	22	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	231	23	every	every	DT
work_oavbptqpunch5jy27k3m3zb5yi	231	24	dimension	dimension	NN
work_oavbptqpunch5jy27k3m3zb5yi	231	25	distinctly	distinctly	RB
work_oavbptqpunch5jy27k3m3zb5yi	231	26	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	231	27	attain	attain	VB
work_oavbptqpunch5jy27k3m3zb5yi	231	28	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	231	29	sets	set	NNS
work_oavbptqpunch5jy27k3m3zb5yi	231	30	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	231	31	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	231	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	232	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	232	2	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	232	3	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	232	4	generated	generate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	232	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	232	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	232	7	2-D	2-d	CD
work_oavbptqpunch5jy27k3m3zb5yi	232	8	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	232	9	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	232	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	232	11	approximation	approximation	NN
work_oavbptqpunch5jy27k3m3zb5yi	232	12	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	232	13	CA1	CA1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	232	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	232	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	232	16	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	232	17	detail	detail	NN
work_oavbptqpunch5jy27k3m3zb5yi	232	18	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	232	19	CD1	CD1	VBN
work_oavbptqpunch5jy27k3m3zb5yi	232	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	233	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	233	2	detail	detail	NN
work_oavbptqpunch5jy27k3m3zb5yi	233	3	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	233	4	comprise	comprise	VBP
work_oavbptqpunch5jy27k3m3zb5yi	233	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	233	6	horizontal	horizontal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	233	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	233	8	vertical	vertical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	233	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	233	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	233	11	diagonal	diagonal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	233	12	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	233	13	correspondingly	correspondingly	RB
work_oavbptqpunch5jy27k3m3zb5yi	233	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	234	1	Multilevel	multilevel	NN
work_oavbptqpunch5jy27k3m3zb5yi	234	2	2-D	2-d	CD
work_oavbptqpunch5jy27k3m3zb5yi	234	3	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	234	4	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	234	5	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	234	6	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	234	7	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	234	8	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	234	9	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	234	10	accomplish	accomplish	VB
work_oavbptqpunch5jy27k3m3zb5yi	234	11	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	234	12	decomposing	decomposing	NN
work_oavbptqpunch5jy27k3m3zb5yi	234	13	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	234	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	235	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	235	2	multilevel	multilevel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	235	3	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	235	4	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	235	5	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	235	6	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	235	7	convolving	convolve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	235	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	235	9	approximation	approximation	NN
work_oavbptqpunch5jy27k3m3zb5yi	235	10	components	component	NNS
work_oavbptqpunch5jy27k3m3zb5yi	235	11	created	create	VBN
work_oavbptqpunch5jy27k3m3zb5yi	235	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	235	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	235	14	preceding	precede	VBG
work_oavbptqpunch5jy27k3m3zb5yi	235	15	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	235	16	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	235	17	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	235	18	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	235	19	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	235	20	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	235	21	low	low	JJ
work_oavbptqpunch5jy27k3m3zb5yi	235	22	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	235	23	pass	pass	NN
work_oavbptqpunch5jy27k3m3zb5yi	235	24	filters	filter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	235	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	235	26	Mallat	Mallat	NNP
work_oavbptqpunch5jy27k3m3zb5yi	235	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	235	28	1989	1989	CD
work_oavbptqpunch5jy27k3m3zb5yi	235	29	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	235	30	Anitha	Anitha	NNP
work_oavbptqpunch5jy27k3m3zb5yi	235	31	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	235	32	Murugavalli	Murugavalli	NNP
work_oavbptqpunch5jy27k3m3zb5yi	235	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	235	34	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	235	35	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	235	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	236	1	An	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	236	2	example	example	NN
work_oavbptqpunch5jy27k3m3zb5yi	236	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	236	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	236	5	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	236	6	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	236	7	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	236	8	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	236	9	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	236	10	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	236	11	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	236	12	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	236	13	sample	sample	NN
work_oavbptqpunch5jy27k3m3zb5yi	236	14	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	236	15	illustrated	illustrate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	236	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	236	17	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	236	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	237	1	7C.	7c.	XX
work_oavbptqpunch5jy27k3m3zb5yi	238	1	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	238	2	6	6	CD
work_oavbptqpunch5jy27k3m3zb5yi	238	3	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	238	4	framework	framework	NN
work_oavbptqpunch5jy27k3m3zb5yi	238	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	238	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	238	7	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	238	8	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	238	9	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	238	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	239	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	239	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	239	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	239	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	239	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	239	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	239	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	239	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	239	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	239	12	fig-6	fig-6	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	239	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	239	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	239	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	239	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	239	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	239	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	240	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	240	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	240	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	240	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	240	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	10	12/30	12/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	240	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-6	http://dx.doi.org/10.7717/peerj-cs.306/fig-6	CD
work_oavbptqpunch5jy27k3m3zb5yi	240	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	240	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_oavbptqpunch5jy27k3m3zb5yi	240	14	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	240	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	240	16	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	240	17	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	18	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	240	19	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	20	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	240	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	240	22	4-decomposing	4-decomposing	CD
work_oavbptqpunch5jy27k3m3zb5yi	240	23	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	240	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	240	25	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	240	26	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	240	27	applied	apply	VBN
work_oavbptqpunch5jy27k3m3zb5yi	240	28	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	240	29	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	240	30	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	240	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	241	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	241	2	4th	4th	JJ
work_oavbptqpunch5jy27k3m3zb5yi	241	3	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	241	4	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	241	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	241	6	2D	2d	JJ
work_oavbptqpunch5jy27k3m3zb5yi	241	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	241	8	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	241	9	usually	usually	RB
work_oavbptqpunch5jy27k3m3zb5yi	241	10	enhances	enhance	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	241	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	241	12	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	241	13	when	when	WRB
work_oavbptqpunch5jy27k3m3zb5yi	241	14	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	241	15	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	241	16	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	241	17	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	241	18	stated	state	VBN
work_oavbptqpunch5jy27k3m3zb5yi	241	19	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	241	20	Chato	Chato	NNP
work_oavbptqpunch5jy27k3m3zb5yi	241	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	241	22	Chow	Chow	NNP
work_oavbptqpunch5jy27k3m3zb5yi	241	23	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	241	24	Latifi	Latifi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	241	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	241	26	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	241	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	241	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	241	29	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	241	30	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	241	31	proved	prove	VBN
work_oavbptqpunch5jy27k3m3zb5yi	241	32	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	241	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	241	34	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	241	35	section	section	NN
work_oavbptqpunch5jy27k3m3zb5yi	241	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	242	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	242	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	242	3	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	242	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	242	5	Haar	Haar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	242	6	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	242	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	242	8	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	242	9	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	242	10	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	242	11	wavelet	wavelet	JJ
work_oavbptqpunch5jy27k3m3zb5yi	242	12	basis	basis	NN
work_oavbptqpunch5jy27k3m3zb5yi	242	13	function	function	NN
work_oavbptqpunch5jy27k3m3zb5yi	242	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	243	1	After	after	IN
work_oavbptqpunch5jy27k3m3zb5yi	243	2	performing	perform	VBG
work_oavbptqpunch5jy27k3m3zb5yi	243	3	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	243	4	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	243	5	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	243	6	decompositions	decomposition	NNS
work_oavbptqpunch5jy27k3m3zb5yi	243	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	243	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	243	9	approximate	approximate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	243	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	243	11	horizontal	horizontal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	243	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	243	13	vertical	vertical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	243	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	243	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	243	16	diagonal	diagonal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	243	17	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	243	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	243	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	243	20	fourth	fourth	JJ
work_oavbptqpunch5jy27k3m3zb5yi	243	21	decomposing	decomposing	NN
work_oavbptqpunch5jy27k3m3zb5yi	243	22	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	243	23	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	243	24	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	243	25	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	243	26	form	form	VB
work_oavbptqpunch5jy27k3m3zb5yi	243	27	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	243	28	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	243	29	subset	subset	NN
work_oavbptqpunch5jy27k3m3zb5yi	243	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	244	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	244	2	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	244	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	244	4	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	244	5	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	244	6	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	244	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	244	8	fourth	fourth	JJ
work_oavbptqpunch5jy27k3m3zb5yi	244	9	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	244	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	244	11	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	244	12	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	244	13	196	196	CD
work_oavbptqpunch5jy27k3m3zb5yi	244	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	245	1	Grey	grey	JJ
work_oavbptqpunch5jy27k3m3zb5yi	245	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	245	3	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	4	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	5	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	6	occurrence	occurrence	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	7	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	8	Grey	Grey	NNP
work_oavbptqpunch5jy27k3m3zb5yi	245	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	245	10	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	11	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	12	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	13	occurrence	occurrence	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	14	Matrix	Matrix	NNP
work_oavbptqpunch5jy27k3m3zb5yi	245	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	245	16	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	245	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	245	18	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	19	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	245	20	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	245	21	common	common	JJ
work_oavbptqpunch5jy27k3m3zb5yi	245	22	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	23	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	245	24	pulling	pull	VBG
work_oavbptqpunch5jy27k3m3zb5yi	245	25	out	out	RP
work_oavbptqpunch5jy27k3m3zb5yi	245	26	texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	245	27	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	245	28	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	245	29	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	245	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	245	31	Haralick	Haralick	NNP
work_oavbptqpunch5jy27k3m3zb5yi	245	32	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	245	33	Shanmugam	Shanmugam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	245	34	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	245	35	Dinstein	Dinstein	NNP
work_oavbptqpunch5jy27k3m3zb5yi	245	36	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	245	37	1973	1973	CD
work_oavbptqpunch5jy27k3m3zb5yi	245	38	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	245	39	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	246	1	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	246	2	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	246	4	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	246	5	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	246	6	extract	extract	VB
work_oavbptqpunch5jy27k3m3zb5yi	246	7	surface	surface	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	8	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	246	9	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	246	10	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	246	11	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	246	12	contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	246	14	homogeneity	homogeneity	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	246	16	correlation	correlation	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	246	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	246	19	energy	energy	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	20	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	21	7	7	CD
work_oavbptqpunch5jy27k3m3zb5yi	246	22	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	246	23	illustration	illustration	NN
work_oavbptqpunch5jy27k3m3zb5yi	246	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	246	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	246	26	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	246	27	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	246	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	247	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	2	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	247	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	4	Original	original	JJ
work_oavbptqpunch5jy27k3m3zb5yi	247	5	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	247	6	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	247	7	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	247	8	sample	sample	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	247	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	11	B	b	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	13	enhanced	enhance	VBN
work_oavbptqpunch5jy27k3m3zb5yi	247	14	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	15	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	247	16	CLAHE	CLAHE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	247	17	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	247	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	20	C	c	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	247	23	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	247	24	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	25	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	247	26	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	247	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	29	D	d	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	247	31	GLCM	glcm	NN
work_oavbptqpunch5jy27k3m3zb5yi	247	32	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	247	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	248	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	248	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	248	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	248	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	248	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	248	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	248	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	248	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	248	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	248	12	fig-7	fig-7	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	248	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	248	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	248	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	248	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	248	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	248	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	249	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	249	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	249	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	249	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	249	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	249	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	249	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	249	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	249	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	249	10	13/30	13/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	249	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-7	http://dx.doi.org/10.7717/peerj-cs.306/fig-7	NNP
work_oavbptqpunch5jy27k3m3zb5yi	249	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	249	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_oavbptqpunch5jy27k3m3zb5yi	249	14	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	249	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	249	16	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	249	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	250	1	GLCM	glcm	NN
work_oavbptqpunch5jy27k3m3zb5yi	250	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	250	3	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	250	4	determined	determine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	250	5	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	250	6	Eqs	Eqs	NNP
work_oavbptqpunch5jy27k3m3zb5yi	250	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	251	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	251	2	7)–(10	7)–(10	CD
work_oavbptqpunch5jy27k3m3zb5yi	251	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	251	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	252	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	252	2	length	length	NN
work_oavbptqpunch5jy27k3m3zb5yi	252	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	252	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	252	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	252	6	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	252	7	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	252	8	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	252	9	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	252	10	64	64	CD
work_oavbptqpunch5jy27k3m3zb5yi	252	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	253	1	An	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	253	2	example	example	NN
work_oavbptqpunch5jy27k3m3zb5yi	253	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	253	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	253	5	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	253	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	253	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	253	8	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	253	9	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	253	10	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	253	11	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	253	12	sample	sample	NN
work_oavbptqpunch5jy27k3m3zb5yi	253	13	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	253	14	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	253	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	253	16	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	253	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	254	1	7D.	7d.	XX
work_oavbptqpunch5jy27k3m3zb5yi	255	1	Contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	2	¼	¼	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	3	XG	XG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	4	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	5	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	6	n¼0	n¼0	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	7	n2	n2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	8	XF	XF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	9	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	10	XG	xg	VBP
work_oavbptqpunch5jy27k3m3zb5yi	255	11	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	12	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	13	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	14	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	255	15	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	16	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	19	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	255	20	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	21	�	�	.
work_oavbptqpunch5jy27k3m3zb5yi	255	22	jj	jj	IN
work_oavbptqpunch5jy27k3m3zb5yi	255	23	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	24	¼	¼	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	25	n	n	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	27	7	7	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	28	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	29	Correlation	Correlation	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	30	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	31	XF	XF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	32	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	33	XG	XG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	34	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	35	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	36	�	�	.
work_oavbptqpunch5jy27k3m3zb5yi	255	37	jf	jf	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	38	g	g	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	39	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	40	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	41	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	42	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	255	43	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	44	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	45	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	46	mx	mx	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	47	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	48	my	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	255	49	n	n	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	50	o	o	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	51	sx	sx	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	52	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	53	sy	sy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	54	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	55	8)	8)	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	56	Energy	Energy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	57	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	58	XF	XF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	59	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	60	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	61	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	62	XG	XG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	63	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	64	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	65	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	66	P	p	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	67	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	68	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	255	69	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	70	Þð	Þð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	71	Þ2	Þ2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	72	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	73	9	9	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	74	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	75	Homogeneity	Homogeneity	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	76	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	77	XF	XF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	78	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	79	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	80	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	81	XG	XG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	82	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	83	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	84	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	85	P	p	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	86	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	87	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	255	88	jð	jð	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	89	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	90	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	91	þ	þ	CC
work_oavbptqpunch5jy27k3m3zb5yi	255	92	i	i	PRP
work_oavbptqpunch5jy27k3m3zb5yi	255	93	�	�	.
work_oavbptqpunch5jy27k3m3zb5yi	255	94	jj	jj	IN
work_oavbptqpunch5jy27k3m3zb5yi	255	95	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	96	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	97	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	255	98	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	99	Where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	255	100	P	p	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	101	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	102	i	i	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	103	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	255	104	j	j	NNP
work_oavbptqpunch5jy27k3m3zb5yi	255	105	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	255	106	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	255	107	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	255	108	marginal	marginal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	255	109	joint	joint	JJ
work_oavbptqpunch5jy27k3m3zb5yi	255	110	probability	probability	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	111	grey	grey	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	112	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	255	113	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	114	co	co	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	115	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	116	occurrence	occurrence	JJ
work_oavbptqpunch5jy27k3m3zb5yi	255	117	matrix	matrix	NN
work_oavbptqpunch5jy27k3m3zb5yi	255	118	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	256	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	256	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	3	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	4	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	5	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	6	Convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	256	7	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	256	8	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	256	9	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	256	10	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	256	11	pre	pre	VBN
work_oavbptqpunch5jy27k3m3zb5yi	256	12	-	-	VBN
work_oavbptqpunch5jy27k3m3zb5yi	256	13	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	256	14	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	256	15	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	256	16	learned	learn	VBN
work_oavbptqpunch5jy27k3m3zb5yi	256	17	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	256	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	256	19	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	256	20	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	256	21	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	256	22	either	either	CC
work_oavbptqpunch5jy27k3m3zb5yi	256	23	carry	carry	VB
work_oavbptqpunch5jy27k3m3zb5yi	256	24	out	out	RP
work_oavbptqpunch5jy27k3m3zb5yi	256	25	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	26	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	256	27	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	28	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	256	29	tasks	task	NNS
work_oavbptqpunch5jy27k3m3zb5yi	256	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	257	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	257	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	257	3	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	257	4	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	257	5	task	task	NN
work_oavbptqpunch5jy27k3m3zb5yi	257	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	257	7	useful	useful	JJ
work_oavbptqpunch5jy27k3m3zb5yi	257	8	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	257	9	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	257	10	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	257	11	taken	take	VBN
work_oavbptqpunch5jy27k3m3zb5yi	257	12	out	out	RP
work_oavbptqpunch5jy27k3m3zb5yi	257	13	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	257	14	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	257	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	257	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	257	17	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	257	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	257	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	257	20	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	257	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	258	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	258	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	258	3	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	5	instead	instead	RB
work_oavbptqpunch5jy27k3m3zb5yi	258	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	258	7	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	258	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	258	9	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	258	10	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	258	11	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	258	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	13	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	258	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	258	15	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	258	16	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	258	17	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	258	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	258	19	“	"	``
work_oavbptqpunch5jy27k3m3zb5yi	258	20	fc7	fc7	NNP
work_oavbptqpunch5jy27k3m3zb5yi	258	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	22	”	"	''
work_oavbptqpunch5jy27k3m3zb5yi	258	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	258	24	dropout	dropout	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	25	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	26	named	name	VBN
work_oavbptqpunch5jy27k3m3zb5yi	258	27	“	"	``
work_oavbptqpunch5jy27k3m3zb5yi	258	28	pool	pool	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	29	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	258	30	drop	drop	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	31	7	7	CD
work_oavbptqpunch5jy27k3m3zb5yi	258	32	×	×	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	33	7	7	CD
work_oavbptqpunch5jy27k3m3zb5yi	258	34	s1	s1	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	35	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	36	”	"	''
work_oavbptqpunch5jy27k3m3zb5yi	258	37	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	258	38	“	"	``
work_oavbptqpunch5jy27k3m3zb5yi	258	39	global	global	JJ
work_oavbptqpunch5jy27k3m3zb5yi	258	40	average	average	JJ
work_oavbptqpunch5jy27k3m3zb5yi	258	41	pooling	pooling	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	42	2D	2d	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	43	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	44	”	"	''
work_oavbptqpunch5jy27k3m3zb5yi	258	45	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	258	46	fifth	fifth	JJ
work_oavbptqpunch5jy27k3m3zb5yi	258	47	pooling	pooling	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	48	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	258	49	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	258	50	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	51	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	258	52	“	"	``
work_oavbptqpunch5jy27k3m3zb5yi	258	53	node	node	RB
work_oavbptqpunch5jy27k3m3zb5yi	258	54	200	200	CD
work_oavbptqpunch5jy27k3m3zb5yi	258	55	”	"	''
work_oavbptqpunch5jy27k3m3zb5yi	258	56	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	258	57	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	258	58	fine	fine	RB
work_oavbptqpunch5jy27k3m3zb5yi	258	59	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	258	60	tuned	tune	VBN
work_oavbptqpunch5jy27k3m3zb5yi	258	61	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	258	62	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	63	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	258	64	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	65	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	258	66	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	67	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	258	68	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	258	69	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	258	70	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	258	71	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	258	72	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	259	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	259	2	length	length	NN
work_oavbptqpunch5jy27k3m3zb5yi	259	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	259	4	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	259	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	259	6	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	259	7	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	259	8	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	259	9	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	259	10	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	259	11	4,096	4,096	CD
work_oavbptqpunch5jy27k3m3zb5yi	259	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	259	13	1,024	1,024	CD
work_oavbptqpunch5jy27k3m3zb5yi	259	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	259	15	512	512	CD
work_oavbptqpunch5jy27k3m3zb5yi	259	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	259	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	259	18	544	544	CD
work_oavbptqpunch5jy27k3m3zb5yi	259	19	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	259	20	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	259	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	259	22	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	259	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	259	24	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	259	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	259	26	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	259	27	SuffleNet	SuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	259	28	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	259	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	260	1	Feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	260	2	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	260	3	step	step	VBP
work_oavbptqpunch5jy27k3m3zb5yi	260	4	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	260	5	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	260	6	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	260	7	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	260	8	consists	consist	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	260	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	260	10	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	260	11	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	260	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	261	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	261	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	261	3	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	261	4	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	261	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	261	6	all	all	DT
work_oavbptqpunch5jy27k3m3zb5yi	261	7	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	261	8	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	261	9	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	261	10	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	261	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	261	12	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	261	13	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	261	14	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	261	15	combined	combine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	261	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	261	17	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	261	18	concatenated	concatenated	JJ
work_oavbptqpunch5jy27k3m3zb5yi	261	19	manner	manner	NN
work_oavbptqpunch5jy27k3m3zb5yi	261	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	262	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	262	2	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	262	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	262	4	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	262	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	262	6	after	after	IN
work_oavbptqpunch5jy27k3m3zb5yi	262	7	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	262	8	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	262	9	6,176	6,176	CD
work_oavbptqpunch5jy27k3m3zb5yi	262	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	263	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	263	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	263	3	second	second	JJ
work_oavbptqpunch5jy27k3m3zb5yi	263	4	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	263	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	263	6	all	all	DT
work_oavbptqpunch5jy27k3m3zb5yi	263	7	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	263	8	extracted	extract	VBD
work_oavbptqpunch5jy27k3m3zb5yi	263	9	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	263	10	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	263	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	263	12	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	263	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	263	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	263	15	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	263	16	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	263	17	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	263	18	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	263	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	264	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	264	2	length	length	NN
work_oavbptqpunch5jy27k3m3zb5yi	264	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	264	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	264	5	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	264	6	space	space	NN
work_oavbptqpunch5jy27k3m3zb5yi	264	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	264	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	264	9	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	264	10	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	264	11	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	264	12	772	772	CD
work_oavbptqpunch5jy27k3m3zb5yi	264	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	265	1	As	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	265	2	mentioned	mention	VBN
work_oavbptqpunch5jy27k3m3zb5yi	265	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	265	4	related	relate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	265	5	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	265	6	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	265	7	problems	problem	NNS
work_oavbptqpunch5jy27k3m3zb5yi	265	8	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	265	9	combining	combine	VBG
work_oavbptqpunch5jy27k3m3zb5yi	265	10	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	265	12	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	265	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	265	14	may	may	MD
work_oavbptqpunch5jy27k3m3zb5yi	265	15	enhance	enhance	VB
work_oavbptqpunch5jy27k3m3zb5yi	265	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	265	17	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	265	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	265	19	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	265	20	problems	problem	NNS
work_oavbptqpunch5jy27k3m3zb5yi	265	21	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	265	22	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	23	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	265	24	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	25	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	265	27	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	265	28	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	265	29	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	30	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	265	31	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	32	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	265	34	2019a	2019a	LS
work_oavbptqpunch5jy27k3m3zb5yi	265	35	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	265	36	Hansley	Hansley	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	265	38	Segundo	Segundo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	39	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	265	40	Sarkar	Sarkar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	265	41	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	265	42	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	265	43	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	265	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	266	1	Thus	thus	RB
work_oavbptqpunch5jy27k3m3zb5yi	266	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	266	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	266	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	266	5	third	third	JJ
work_oavbptqpunch5jy27k3m3zb5yi	266	6	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	266	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	266	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	266	9	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	266	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	266	11	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	266	12	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	266	13	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	266	14	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	266	15	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	266	16	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	266	17	both	both	CC
work_oavbptqpunch5jy27k3m3zb5yi	266	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	266	19	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	266	20	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	266	21	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	266	22	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	266	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	267	1	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	267	2	examine	examine	VB
work_oavbptqpunch5jy27k3m3zb5yi	267	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	267	4	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	267	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	267	6	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	267	7	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	267	8	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	267	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	267	10	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	267	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	267	12	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	267	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	267	14	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	267	15	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	267	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	267	17	distinguishing	distinguish	VBG
work_oavbptqpunch5jy27k3m3zb5yi	267	18	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	267	19	COVID-19	COVID-19	:
work_oavbptqpunch5jy27k3m3zb5yi	267	20	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	267	21	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	267	22	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	267	23	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	267	24	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	267	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	268	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	268	2	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	268	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	268	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	268	5	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	268	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	268	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	268	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	268	9	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	268	10	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	268	11	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	268	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	268	13	first	first	JJ
work_oavbptqpunch5jy27k3m3zb5yi	268	14	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	268	15	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	268	16	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	268	17	test	test	VB
work_oavbptqpunch5jy27k3m3zb5yi	268	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	268	19	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	268	20	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	268	21	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	268	22	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	268	23	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	268	24	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	268	25	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	268	26	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	268	27	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	268	28	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	268	29	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	268	30	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	268	31	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	268	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	268	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	268	34	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	268	35	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	268	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	269	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	269	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	269	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	269	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	269	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	269	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	269	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	269	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	269	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	269	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	270	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	270	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	270	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	270	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	270	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	10	14/30	14/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	270	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	270	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	13	Classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	270	14	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	270	15	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	270	16	step	step	NN
work_oavbptqpunch5jy27k3m3zb5yi	270	17	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	270	18	responsible	responsible	JJ
work_oavbptqpunch5jy27k3m3zb5yi	270	19	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	270	20	classifying	classify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	270	21	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	22	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	270	23	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	270	24	COVID-19	COVID-19	:
work_oavbptqpunch5jy27k3m3zb5yi	270	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	270	26	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	270	27	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	270	28	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	270	29	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	270	30	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	270	31	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	270	32	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	270	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	271	1	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	271	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	271	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	271	4	machine	machine	NN
work_oavbptqpunch5jy27k3m3zb5yi	271	5	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	271	6	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	271	7	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	271	8	uses	use	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	271	9	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	271	10	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	271	11	theory	theory	NN
work_oavbptqpunch5jy27k3m3zb5yi	271	12	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	271	13	perform	perform	VB
work_oavbptqpunch5jy27k3m3zb5yi	271	14	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	271	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	272	1	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	272	2	classifier	classifier	NNP
work_oavbptqpunch5jy27k3m3zb5yi	272	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	272	4	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	272	5	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	272	6	construct	construct	VB
work_oavbptqpunch5jy27k3m3zb5yi	272	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	272	8	optimal	optimal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	272	9	hyperplane	hyperplane	NN
work_oavbptqpunch5jy27k3m3zb5yi	272	10	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	272	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	272	12	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	272	13	margin	margin	NN
work_oavbptqpunch5jy27k3m3zb5yi	272	14	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	272	15	separate	separate	VB
work_oavbptqpunch5jy27k3m3zb5yi	272	16	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	272	17	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	272	18	groups	group	NNS
work_oavbptqpunch5jy27k3m3zb5yi	272	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	272	20	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	272	21	datasets	dataset	NNS
work_oavbptqpunch5jy27k3m3zb5yi	272	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	273	1	Support	support	NN
work_oavbptqpunch5jy27k3m3zb5yi	273	2	vectors	vector	NNS
work_oavbptqpunch5jy27k3m3zb5yi	273	3	represent	represent	VBP
work_oavbptqpunch5jy27k3m3zb5yi	273	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	273	5	data	data	NN
work_oavbptqpunch5jy27k3m3zb5yi	273	6	points	point	NNS
work_oavbptqpunch5jy27k3m3zb5yi	273	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	273	8	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	273	9	exist	exist	VBP
work_oavbptqpunch5jy27k3m3zb5yi	273	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	273	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	273	12	margin	margin	NN
work_oavbptqpunch5jy27k3m3zb5yi	273	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	274	1	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	274	2	employs	employ	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	274	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	274	4	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	274	5	function	function	NN
work_oavbptqpunch5jy27k3m3zb5yi	274	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	274	7	convert	convert	VB
work_oavbptqpunch5jy27k3m3zb5yi	274	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	274	9	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	274	10	space	space	NN
work_oavbptqpunch5jy27k3m3zb5yi	274	11	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	274	12	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	274	13	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	274	14	domain	domain	NN
work_oavbptqpunch5jy27k3m3zb5yi	274	15	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	274	16	make	make	VB
work_oavbptqpunch5jy27k3m3zb5yi	274	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	274	18	separation	separation	NN
work_oavbptqpunch5jy27k3m3zb5yi	274	19	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	274	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	274	21	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	274	22	classes	class	NNS
work_oavbptqpunch5jy27k3m3zb5yi	274	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	274	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	274	25	datasets	dataset	NNS
work_oavbptqpunch5jy27k3m3zb5yi	274	26	easier	easy	JJR
work_oavbptqpunch5jy27k3m3zb5yi	274	27	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	274	28	Wagh	Wagh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	274	29	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	274	30	Vasanth	Vasanth	NNP
work_oavbptqpunch5jy27k3m3zb5yi	274	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	274	32	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	274	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	274	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	275	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	275	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	275	3	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	275	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	275	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	275	6	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	275	7	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	275	8	function	function	NN
work_oavbptqpunch5jy27k3m3zb5yi	275	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	275	10	chosen	choose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	275	11	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	275	12	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	275	13	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	275	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	275	15	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	275	16	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	275	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	276	1	PERFORMANCE	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	2	EVALUATION	EVALUATION	VBD
work_oavbptqpunch5jy27k3m3zb5yi	276	3	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	276	4	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	276	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	276	7	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	276	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	276	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	276	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	276	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	12	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	276	13	calculated	calculate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	276	14	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	276	15	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	276	16	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	276	17	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	276	18	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	276	19	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	276	21	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	276	23	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	276	25	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	276	27	F1-score	f1-score	CD
work_oavbptqpunch5jy27k3m3zb5yi	276	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	276	29	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	276	30	odds	odd	NNS
work_oavbptqpunch5jy27k3m3zb5yi	276	31	ratio	ratio	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	32	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	276	33	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	276	34	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	276	35	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	276	36	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	276	37	area	area	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	38	under	under	IN
work_oavbptqpunch5jy27k3m3zb5yi	276	39	receiving	receive	VBG
work_oavbptqpunch5jy27k3m3zb5yi	276	40	operating	operating	NN
work_oavbptqpunch5jy27k3m3zb5yi	276	41	characteristics	characteristic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	276	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	276	43	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	276	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	276	45	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	277	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	277	2	equations	equation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	277	3	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	277	4	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	277	5	calculate	calculate	VB
work_oavbptqpunch5jy27k3m3zb5yi	277	6	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	277	7	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	277	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	277	9	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	277	10	below	below	IN
work_oavbptqpunch5jy27k3m3zb5yi	277	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	277	12	Eqs	Eqs	NNP
work_oavbptqpunch5jy27k3m3zb5yi	277	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	278	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	278	2	11)–(16	11)–(16	CD
work_oavbptqpunch5jy27k3m3zb5yi	278	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	278	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	279	1	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	2	¼	¼	JJ
work_oavbptqpunch5jy27k3m3zb5yi	279	3	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	4	þ	þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	5	TN	tn	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	6	TN	TN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	7	þ	þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	8	FP	FP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	9	þ	þ	DT
work_oavbptqpunch5jy27k3m3zb5yi	279	10	FN	fn	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	11	þ	þ	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	12	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	14	11	11	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	15	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	16	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	17	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	18	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	19	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	20	þ	þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	21	FN	FN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	22	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	23	12	12	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	25	Specificity	Specificity	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	26	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	27	TN	TN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	28	TN	TN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	29	þ	þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	30	FP	FP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	32	13	13	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	34	Precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	35	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	36	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	37	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	38	þ	þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	39	FP	FP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	40	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	41	14	14	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	42	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	43	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	44	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	45	Score	Score	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	46	¼	¼	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	47	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	48	�	�	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	49	TP	tp	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	50	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	51	�	�	NNS
work_oavbptqpunch5jy27k3m3zb5yi	279	52	TPð	tpð	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	53	Þ	Þ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	54	þ	þ	DT
work_oavbptqpunch5jy27k3m3zb5yi	279	55	FP	FP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	56	þ	þ	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	57	FN	fn	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	58	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	59	15	15	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	60	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	61	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	62	¼	¼	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	63	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	64	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	65	TN	TN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	66	FP	fp	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	67	�	�	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	279	68	FN	fn	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	69	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	70	16	16	CD
work_oavbptqpunch5jy27k3m3zb5yi	279	71	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	279	72	Where	where	WRB
work_oavbptqpunch5jy27k3m3zb5yi	279	73	TP	TP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	74	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	279	75	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	279	76	sum	sum	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	77	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	279	78	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	279	79	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	279	80	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	279	81	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	279	82	properly	properly	RB
work_oavbptqpunch5jy27k3m3zb5yi	279	83	classified	classify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	279	84	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	279	85	TN	TN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	279	86	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	279	87	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	279	88	sum	sum	NN
work_oavbptqpunch5jy27k3m3zb5yi	279	89	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	279	90	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	279	91	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	279	92	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	279	93	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	279	94	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	279	95	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	279	96	properly	properly	RB
work_oavbptqpunch5jy27k3m3zb5yi	279	97	classified	classify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	279	98	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	280	1	FP	FP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	280	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	280	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	280	4	sum	sum	NN
work_oavbptqpunch5jy27k3m3zb5yi	280	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	280	6	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	280	7	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	280	8	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	280	9	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	280	10	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	280	11	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	280	12	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	280	13	correctly	correctly	RB
work_oavbptqpunch5jy27k3m3zb5yi	280	14	classified	classify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	280	15	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	280	16	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	280	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	281	1	FN	FN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	281	2	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	281	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	281	4	sum	sum	NN
work_oavbptqpunch5jy27k3m3zb5yi	281	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	281	6	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	281	7	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	281	8	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	281	9	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	281	10	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	281	11	correctly	correctly	RB
work_oavbptqpunch5jy27k3m3zb5yi	281	12	classified	classify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	281	13	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	281	14	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	281	15	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	281	16	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	281	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	282	1	EXPERIMENTAL	EXPERIMENTAL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	282	2	SET	set	NN
work_oavbptqpunch5jy27k3m3zb5yi	282	3	UP	up	RP
work_oavbptqpunch5jy27k3m3zb5yi	282	4	Parameter	parameter	NN
work_oavbptqpunch5jy27k3m3zb5yi	282	5	setting	set	VBG
work_oavbptqpunch5jy27k3m3zb5yi	282	6	Some	some	DT
work_oavbptqpunch5jy27k3m3zb5yi	282	7	parameters	parameter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	282	8	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	282	9	adjusted	adjust	VBN
work_oavbptqpunch5jy27k3m3zb5yi	282	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	282	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	282	12	pre	pre	JJ
work_oavbptqpunch5jy27k3m3zb5yi	282	13	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	282	14	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	282	15	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	282	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	283	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	283	2	mini	mini	JJ
work_oavbptqpunch5jy27k3m3zb5yi	283	3	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	4	batch	batch	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	5	length	length	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	283	7	validation	validation	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	8	frequency	frequency	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	9	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	283	10	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	283	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	283	12	4	4	CD
work_oavbptqpunch5jy27k3m3zb5yi	283	13	correspondingly	correspondingly	RB
work_oavbptqpunch5jy27k3m3zb5yi	283	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	283	15	total	total	JJ
work_oavbptqpunch5jy27k3m3zb5yi	283	16	epochs	epoch	NNS
work_oavbptqpunch5jy27k3m3zb5yi	283	17	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	283	18	equal	equal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	283	19	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	283	20	20	20	CD
work_oavbptqpunch5jy27k3m3zb5yi	283	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	283	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	283	23	primary	primary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	283	24	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	25	rate	rate	NN
work_oavbptqpunch5jy27k3m3zb5yi	283	26	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	283	27	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	283	28	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	283	29	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	283	30	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	283	31	10−4	10−4	CD
work_oavbptqpunch5jy27k3m3zb5yi	283	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	284	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	284	2	L	l	NN
work_oavbptqpunch5jy27k3m3zb5yi	284	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	284	4	regularization	regularization	NN
work_oavbptqpunch5jy27k3m3zb5yi	284	5	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	284	6	0.0005	0.0005	CD
work_oavbptqpunch5jy27k3m3zb5yi	284	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	285	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	285	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	285	3	all	all	DT
work_oavbptqpunch5jy27k3m3zb5yi	285	4	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	285	5	parameters	parameter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	285	6	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	285	7	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	285	8	altered	alter	VBN
work_oavbptqpunch5jy27k3m3zb5yi	285	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	286	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	286	2	arrangements	arrangement	NNS
work_oavbptqpunch5jy27k3m3zb5yi	286	3	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	286	4	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	286	5	approve	approve	VB
work_oavbptqpunch5jy27k3m3zb5yi	286	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	286	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	286	8	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	286	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	286	10	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	286	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	286	12	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	286	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	286	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	286	15	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	286	16	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	286	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	287	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	287	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	287	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	287	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	287	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	10	15/30	15/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	287	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	287	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	13	parameters	parameter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	287	14	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	287	15	modified	modify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	287	16	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	287	17	classifying	classify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	287	18	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	287	19	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	287	20	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	287	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	287	22	COVID-19	covid-19	CD
work_oavbptqpunch5jy27k3m3zb5yi	287	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	288	1	Stochastic	stochastic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	288	2	gradient	gradient	NN
work_oavbptqpunch5jy27k3m3zb5yi	288	3	descent	descent	NN
work_oavbptqpunch5jy27k3m3zb5yi	288	4	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	288	5	momentum	momentum	NN
work_oavbptqpunch5jy27k3m3zb5yi	288	6	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	288	7	SGDM	SGDM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	288	8	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	288	9	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	288	10	applied	apply	VBN
work_oavbptqpunch5jy27k3m3zb5yi	288	11	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	288	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	288	13	optimization	optimization	NN
work_oavbptqpunch5jy27k3m3zb5yi	288	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	289	1	To	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	289	2	verify	verify	VB
work_oavbptqpunch5jy27k3m3zb5yi	289	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	289	4	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	289	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	289	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	289	7	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	289	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	289	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	289	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	289	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	289	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	289	13	5-folds	5-folds	CD
work_oavbptqpunch5jy27k3m3zb5yi	289	14	cross	cross	NN
work_oavbptqpunch5jy27k3m3zb5yi	289	15	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	289	16	validation	validation	NN
work_oavbptqpunch5jy27k3m3zb5yi	289	17	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	289	18	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	289	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	290	1	Augmentation	augmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	290	2	Augmentation	augmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	290	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	290	4	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	290	5	essential	essential	JJ
work_oavbptqpunch5jy27k3m3zb5yi	290	6	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	290	7	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	290	8	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	290	9	usually	usually	RB
work_oavbptqpunch5jy27k3m3zb5yi	290	10	made	make	VBN
work_oavbptqpunch5jy27k3m3zb5yi	290	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	290	12	enlarge	enlarge	VB
work_oavbptqpunch5jy27k3m3zb5yi	290	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	290	14	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	290	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	290	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	290	17	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	290	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	290	19	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	290	20	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	290	21	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	290	22	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	290	23	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	290	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	290	25	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	290	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	291	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	291	2	procedure	procedure	NN
work_oavbptqpunch5jy27k3m3zb5yi	291	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	291	4	done	do	VBN
work_oavbptqpunch5jy27k3m3zb5yi	291	5	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	291	6	most	most	RBS
work_oavbptqpunch5jy27k3m3zb5yi	291	7	likely	likely	RB
work_oavbptqpunch5jy27k3m3zb5yi	291	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	291	9	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	291	10	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	291	11	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	291	12	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	291	13	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	291	14	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	291	15	insignificant	insignificant	JJ
work_oavbptqpunch5jy27k3m3zb5yi	291	16	amount	amount	NN
work_oavbptqpunch5jy27k3m3zb5yi	291	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	291	18	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	291	19	over	over	IN
work_oavbptqpunch5jy27k3m3zb5yi	291	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	291	21	fit	fit	NNP
work_oavbptqpunch5jy27k3m3zb5yi	291	22	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	291	23	Ravì	Ravì	NNP
work_oavbptqpunch5jy27k3m3zb5yi	291	24	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	291	25	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	291	26	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	291	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	291	28	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	291	29	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	291	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	292	1	Overfitting	overfitting	NN
work_oavbptqpunch5jy27k3m3zb5yi	292	2	means	mean	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	292	3	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	292	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	292	5	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	292	6	will	will	MD
work_oavbptqpunch5jy27k3m3zb5yi	292	7	remember	remember	VB
work_oavbptqpunch5jy27k3m3zb5yi	292	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	292	9	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	292	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	292	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	292	12	training	training	NN
work_oavbptqpunch5jy27k3m3zb5yi	292	13	set	set	VBN
work_oavbptqpunch5jy27k3m3zb5yi	292	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	292	15	will	will	MD
work_oavbptqpunch5jy27k3m3zb5yi	292	16	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	292	17	execute	execute	VB
work_oavbptqpunch5jy27k3m3zb5yi	292	18	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	292	19	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	292	20	testing	test	VBG
work_oavbptqpunch5jy27k3m3zb5yi	292	21	sets	set	NNS
work_oavbptqpunch5jy27k3m3zb5yi	292	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	293	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	293	2	augmentation	augmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	3	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	4	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	293	5	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	293	6	generate	generate	VB
work_oavbptqpunch5jy27k3m3zb5yi	293	7	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	293	8	lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	9	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	293	10	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	293	11	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	293	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	293	13	training	training	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	14	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	293	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	293	16	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	293	17	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	18	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	293	19	translation	translation	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	293	21	flipping	flipping	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	293	23	scaling	scaling	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	293	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	293	26	rotation	rotation	NN
work_oavbptqpunch5jy27k3m3zb5yi	293	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	294	1	Every	every	DT
work_oavbptqpunch5jy27k3m3zb5yi	294	2	original	original	JJ
work_oavbptqpunch5jy27k3m3zb5yi	294	3	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	294	4	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	294	5	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	294	6	flipped	flip	VBN
work_oavbptqpunch5jy27k3m3zb5yi	294	7	then	then	RB
work_oavbptqpunch5jy27k3m3zb5yi	294	8	translated	translate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	294	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	294	10	scaled	scale	VBN
work_oavbptqpunch5jy27k3m3zb5yi	294	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	294	12	x	x	NNP
work_oavbptqpunch5jy27k3m3zb5yi	294	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	294	14	y	y	NN
work_oavbptqpunch5jy27k3m3zb5yi	294	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	294	16	directions	direction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	294	17	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	294	18	pixel	pixel	NN
work_oavbptqpunch5jy27k3m3zb5yi	294	19	range	range	NN
work_oavbptqpunch5jy27k3m3zb5yi	294	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	294	21	−30	−30	NNP
work_oavbptqpunch5jy27k3m3zb5yi	294	22	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	294	23	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	294	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	294	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	294	26	scale	scale	NN
work_oavbptqpunch5jy27k3m3zb5yi	294	27	range	range	NN
work_oavbptqpunch5jy27k3m3zb5yi	294	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	294	29	0.9–1.1	0.9–1.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	294	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	294	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	294	32	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	294	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	295	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	295	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	295	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	295	4	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	295	5	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	295	6	rotated	rotate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	295	7	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	295	8	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	295	9	angle	angle	NN
work_oavbptqpunch5jy27k3m3zb5yi	295	10	range	range	NN
work_oavbptqpunch5jy27k3m3zb5yi	295	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	295	12	0–180	0–180	NFP
work_oavbptqpunch5jy27k3m3zb5yi	295	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	295	14	degrees	degree	NNS
work_oavbptqpunch5jy27k3m3zb5yi	295	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	296	1	RESULTS	RESULTS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	296	2	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	296	3	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	296	4	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	296	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	296	6	novel	novel	NN
work_oavbptqpunch5jy27k3m3zb5yi	296	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	296	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	296	9	called	call	VBN
work_oavbptqpunch5jy27k3m3zb5yi	296	10	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	296	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	296	12	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	296	13	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	296	14	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	296	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	296	16	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	296	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	296	18	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	296	19	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	296	20	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	296	21	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	296	22	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	296	23	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	296	24	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	296	25	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	296	26	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	296	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	296	28	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	296	29	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	296	30	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	296	31	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	296	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	297	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	297	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	297	3	section	section	NN
work_oavbptqpunch5jy27k3m3zb5yi	297	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	297	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	297	6	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	297	7	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	297	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	297	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	297	10	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	297	11	stages	stage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	297	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	297	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	297	14	features	features	NNP
work_oavbptqpunch5jy27k3m3zb5yi	297	15	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	297	16	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	297	17	presented	present	VBN
work_oavbptqpunch5jy27k3m3zb5yi	297	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	298	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	298	2	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	298	3	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	298	4	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	298	5	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	298	6	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	298	7	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	298	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	298	10	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	298	11	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	298	12	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	298	13	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	298	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	15	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	298	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	17	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	298	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	19	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	298	20	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	298	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	22	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	298	23	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	298	24	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	298	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	26	combined	combine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	298	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	298	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	298	29	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	298	30	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	298	31	construct	construct	VB
work_oavbptqpunch5jy27k3m3zb5yi	298	32	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	298	33	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	298	34	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	298	35	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	298	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	299	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	299	2	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	299	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	299	5	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	299	6	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	299	7	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	299	8	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	299	9	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	299	10	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	299	12	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	299	13	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	299	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	299	15	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	299	16	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	299	17	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	299	19	one	one	NN
work_oavbptqpunch5jy27k3m3zb5yi	299	20	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	299	21	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	22	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	299	23	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	299	24	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	299	25	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	299	27	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	299	28	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	299	29	individually	individually	RB
work_oavbptqpunch5jy27k3m3zb5yi	299	30	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	31	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	299	32	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	299	33	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	299	34	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	299	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	300	1	For	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	300	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	300	3	single	single	JJ
work_oavbptqpunch5jy27k3m3zb5yi	300	4	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	300	5	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	300	6	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	300	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	300	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	300	9	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	300	10	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	300	11	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	300	12	ResNet-18	resnet-18	CD
work_oavbptqpunch5jy27k3m3zb5yi	300	13	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	300	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	300	15	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	300	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	300	17	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	300	18	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	300	19	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	300	20	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	300	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	300	22	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	300	23	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	300	24	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	300	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	301	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	301	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	301	3	clear	clear	JJ
work_oavbptqpunch5jy27k3m3zb5yi	301	4	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	301	5	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	301	6	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	301	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	301	8	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	301	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	301	10	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	301	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	301	12	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	301	13	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	301	14	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	301	15	97.6	97.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	301	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	301	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	301	18	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	301	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	301	20	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	301	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	301	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	301	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	301	24	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	301	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	302	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	302	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	302	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	302	4	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	302	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	302	6	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	302	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	302	8	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	302	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	302	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	302	11	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	302	12	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	302	13	attained	attain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	302	14	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	302	15	0.975	0.975	CD
work_oavbptqpunch5jy27k3m3zb5yi	302	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	302	17	97.5	97.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	302	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	302	19	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	302	20	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	302	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	303	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	303	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	303	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	303	4	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	303	5	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	303	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	303	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	303	8	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	303	9	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	303	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	303	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	303	12	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	303	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	303	14	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	303	15	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	303	16	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	303	17	almost	almost	RB
work_oavbptqpunch5jy27k3m3zb5yi	303	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	303	19	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	303	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	304	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	304	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	304	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	304	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	304	5	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	304	6	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	304	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	304	8	96.7	96.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	304	9	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	304	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	304	11	96.3	96.3	CD
work_oavbptqpunch5jy27k3m3zb5yi	304	12	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	304	13	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	304	14	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	304	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	304	16	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	304	17	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	304	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	304	19	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	304	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	305	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	305	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	305	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	305	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	305	5	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	305	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	305	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	305	8	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	305	9	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	305	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	305	11	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	305	12	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	305	13	both	both	DT
work_oavbptqpunch5jy27k3m3zb5yi	305	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	305	15	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	305	16	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	305	17	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	305	18	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	305	19	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	305	20	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	305	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	305	22	0.97	0.97	CD
work_oavbptqpunch5jy27k3m3zb5yi	305	23	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	305	24	97	97	CD
work_oavbptqpunch5jy27k3m3zb5yi	305	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	305	26	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	305	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	305	28	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	305	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	306	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	306	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	306	3	there	there	EX
work_oavbptqpunch5jy27k3m3zb5yi	306	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	306	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	306	6	slight	slight	JJ
work_oavbptqpunch5jy27k3m3zb5yi	306	7	change	change	NN
work_oavbptqpunch5jy27k3m3zb5yi	306	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	306	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	306	10	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	306	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	306	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	306	13	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	306	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	306	15	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	306	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	306	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	306	18	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	306	19	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	306	20	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	306	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	306	22	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	306	23	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	306	24	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	306	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	307	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	307	2	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	307	3	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	307	4	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	307	5	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	307	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	307	7	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	307	8	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	307	9	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	307	10	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	307	11	0.963	0.963	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	12	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	13	96.3	96.3	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	14	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	15	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	307	17	0.961	0.961	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	19	96.1	96.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	307	23	0.962	0.962	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	25	96.2	96.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	307	29	0.96	0.96	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	31	96	96	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	307	35	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	307	36	0.966	0.966	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	37	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	38	96.6	96.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	39	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	40	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	41	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	307	42	0.965	0.965	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	43	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	44	96.5	96.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	307	45	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	46	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	307	47	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	307	48	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	307	49	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	50	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	307	51	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	52	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	307	53	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	307	54	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	55	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	307	56	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	307	57	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	307	58	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	308	1	Conversely	conversely	RB
work_oavbptqpunch5jy27k3m3zb5yi	308	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	308	4	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	308	5	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	308	6	individual	individual	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	7	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	308	8	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	308	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	308	10	least	least	JJS
work_oavbptqpunch5jy27k3m3zb5yi	308	11	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	12	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	308	13	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	308	14	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	17	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	19	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	23	0.95	0.95	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	25	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	29	0.948	0.948	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	31	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	35	0.947	0.947	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	36	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	37	94.7	94.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	38	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	39	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	40	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	308	41	0.949	0.949	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	43	94.9	94.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	308	44	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	45	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	308	46	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	47	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	308	48	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	49	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	50	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	51	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	52	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	53	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	54	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	55	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	56	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	57	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	58	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	308	59	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	60	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	308	61	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	308	62	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	308	63	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	309	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	309	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	309	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	309	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	309	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	309	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	309	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	309	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	309	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	309	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	310	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	310	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	310	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	310	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	310	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	10	16/30	16/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	310	11	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	310	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	13	On	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	310	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	310	15	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	310	16	hand	hand	NN
work_oavbptqpunch5jy27k3m3zb5yi	310	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	310	18	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	310	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	310	20	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	310	21	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	310	22	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	310	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	310	24	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	310	25	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	310	26	clear	clear	JJ
work_oavbptqpunch5jy27k3m3zb5yi	310	27	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	310	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	310	29	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	310	30	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	310	31	improved	improve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	310	32	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	310	33	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	310	34	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	310	35	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	310	36	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	310	37	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	38	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	310	39	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	310	40	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	310	41	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	310	42	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	310	43	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	310	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	311	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	311	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	311	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	311	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	311	5	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	7	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	9	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	11	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	13	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	311	16	F1	F1	NNP
work_oavbptqpunch5jy27k3m3zb5yi	311	17	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	18	increased	increase	VBD
work_oavbptqpunch5jy27k3m3zb5yi	311	19	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	311	20	98.6	98.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	23	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	25	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	29	0.981	0.981	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	31	98.1	98.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	35	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	36	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	37	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	38	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	39	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	41	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	43	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	44	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	45	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	46	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	47	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	311	48	0.986	0.986	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	49	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	50	98.6	98.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	311	51	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	311	52	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	311	53	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	311	54	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	311	55	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	312	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	312	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	312	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	312	4	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	312	5	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	312	6	increased	increase	VBN
work_oavbptqpunch5jy27k3m3zb5yi	312	7	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	312	8	4851	4851	CD
work_oavbptqpunch5jy27k3m3zb5yi	312	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	312	10	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	312	11	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	312	12	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	312	13	greater	great	JJR
work_oavbptqpunch5jy27k3m3zb5yi	312	14	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	312	15	DORs	dor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	312	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	312	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	312	18	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	312	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	312	20	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	312	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	312	22	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	312	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	312	24	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	312	25	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	312	26	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	312	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	313	1	Handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	313	2	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	313	3	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	313	4	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	313	5	Three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	313	6	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	313	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	313	8	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	313	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	313	10	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	313	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	313	12	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	313	13	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	313	14	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	313	15	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	313	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	313	17	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	313	18	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	313	19	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	313	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	313	21	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	313	22	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	313	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	313	24	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	313	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	313	26	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	313	27	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	313	28	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	313	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	314	1	As	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	314	2	stated	state	VBN
work_oavbptqpunch5jy27k3m3zb5yi	314	3	previously	previously	RB
work_oavbptqpunch5jy27k3m3zb5yi	314	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	5	eight	eight	CD
work_oavbptqpunch5jy27k3m3zb5yi	314	6	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	314	7	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	314	8	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	314	9	entropy	entropy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	314	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	11	mean	mean	JJ
work_oavbptqpunch5jy27k3m3zb5yi	314	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	13	variance	variance	NN
work_oavbptqpunch5jy27k3m3zb5yi	314	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	15	standard	standard	JJ
work_oavbptqpunch5jy27k3m3zb5yi	314	16	deviation	deviation	NN
work_oavbptqpunch5jy27k3m3zb5yi	314	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	18	minimum	minimum	NN
work_oavbptqpunch5jy27k3m3zb5yi	314	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	20	maximum	maximum	JJ
work_oavbptqpunch5jy27k3m3zb5yi	314	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	314	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	314	23	range	range	NN
work_oavbptqpunch5jy27k3m3zb5yi	314	24	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	314	25	mined	mine	VBN
work_oavbptqpunch5jy27k3m3zb5yi	314	26	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	314	27	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	314	28	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	314	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	315	1	Afterward	afterward	RB
work_oavbptqpunch5jy27k3m3zb5yi	315	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	315	3	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	315	4	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	315	5	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	315	6	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	315	7	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	315	8	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	315	9	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	10	vector	vector	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	315	12	classified	classify	VBD
work_oavbptqpunch5jy27k3m3zb5yi	315	13	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	315	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	315	15	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	315	16	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	17	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	315	18	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	19	giving	give	VBG
work_oavbptqpunch5jy27k3m3zb5yi	315	20	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	315	21	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	315	23	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	315	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	315	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	315	26	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	27	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	315	28	97.6	97.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	315	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	315	31	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	315	32	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	315	33	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	315	34	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	35	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	315	36	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	315	37	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	315	38	0.971	0.971	CD
work_oavbptqpunch5jy27k3m3zb5yi	315	39	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	315	40	97.1	97.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	315	41	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	315	42	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	315	43	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	315	44	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	315	45	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	316	1	Additionally	additionally	RB
work_oavbptqpunch5jy27k3m3zb5yi	316	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	316	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	316	4	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	316	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	316	6	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	316	7	accomplished	accomplish	VBD
work_oavbptqpunch5jy27k3m3zb5yi	316	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	316	9	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	316	10	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	316	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	316	12	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	316	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	316	14	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	316	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	316	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	316	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	317	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	317	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	317	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	317	4	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	317	5	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	317	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	317	7	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	317	8	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	317	9	0.976	0.976	CD
work_oavbptqpunch5jy27k3m3zb5yi	317	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	317	11	97.6	97.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	317	12	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	317	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	317	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	317	15	1584.334	1584.334	NN
work_oavbptqpunch5jy27k3m3zb5yi	317	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	317	17	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	317	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	318	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	318	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	318	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	318	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	318	5	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	318	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	318	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	318	8	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	318	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	318	10	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	318	11	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	318	12	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	318	13	performed	perform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	318	14	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	318	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	318	16	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	318	17	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	318	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	319	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	319	2	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	319	3	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	319	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	319	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	319	6	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	319	7	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	319	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	319	9	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	319	10	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	319	11	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	319	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	319	13	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	319	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	320	1	8	8	LS
work_oavbptqpunch5jy27k3m3zb5yi	320	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	321	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	321	2	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	321	3	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	321	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	321	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	321	6	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	321	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	321	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	321	9	fourth	fourth	JJ
work_oavbptqpunch5jy27k3m3zb5yi	321	10	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	321	11	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	321	12	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	321	13	attained	attain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	321	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	321	15	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	321	16	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	321	17	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	321	18	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	321	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	321	20	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	321	21	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	321	22	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	321	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	321	24	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	321	25	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	321	26	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	321	27	clear	clear	JJ
work_oavbptqpunch5jy27k3m3zb5yi	321	28	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	321	29	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	321	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	322	1	8	8	LS
work_oavbptqpunch5jy27k3m3zb5yi	322	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	323	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	323	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	323	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	323	4	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	323	5	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	323	6	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	323	7	95.2	95.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	323	8	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	323	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	323	10	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	323	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	323	12	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	323	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	323	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	323	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	323	16	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	323	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	324	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	324	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	324	4	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	324	5	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	324	6	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	324	7	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	324	8	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	324	9	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	324	10	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	12	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	14	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	16	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	18	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	20	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	21	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	23	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	324	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	324	25	93.6	93.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	28	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	30	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	31	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	32	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	34	0.931	0.931	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	35	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	36	93.1	93.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	37	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	38	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	39	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	40	0.94	0.94	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	41	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	42	94	94	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	43	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	45	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	46	0.94	0.94	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	47	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	48	94	94	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	49	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	50	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	51	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	52	0.936	0.936	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	53	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	54	93.6	93.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	55	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	324	56	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	324	57	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	324	58	208.143	208.143	CD
work_oavbptqpunch5jy27k3m3zb5yi	324	59	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	324	60	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	324	61	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	325	1	Afterward	afterward	RB
work_oavbptqpunch5jy27k3m3zb5yi	325	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	325	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	325	4	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	325	5	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	325	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	325	7	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	325	8	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	325	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	325	10	classified	classify	VBN
work_oavbptqpunch5jy27k3m3zb5yi	325	11	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	325	12	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	325	13	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	325	14	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	325	15	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	325	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	326	1	Since	since	IN
work_oavbptqpunch5jy27k3m3zb5yi	326	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	326	3	coefficients	coefficient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	326	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	326	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	326	6	fourth	fourth	JJ
work_oavbptqpunch5jy27k3m3zb5yi	326	7	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	326	8	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	326	9	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	326	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	326	11	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	326	12	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	326	13	comparing	compare	VBG
work_oavbptqpunch5jy27k3m3zb5yi	326	14	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	326	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	326	16	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	326	17	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	326	18	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	326	19	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	326	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	327	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	327	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	327	3	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	327	4	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	327	5	along	along	IN
work_oavbptqpunch5jy27k3m3zb5yi	327	6	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	327	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	327	8	GLCM	glcm	JJ
work_oavbptqpunch5jy27k3m3zb5yi	327	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	327	10	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	327	11	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	327	12	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	327	13	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	327	14	forming	form	VBG
work_oavbptqpunch5jy27k3m3zb5yi	327	15	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	327	16	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	327	17	vector	vector	NN
work_oavbptqpunch5jy27k3m3zb5yi	327	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	327	19	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	327	20	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	327	21	construct	construct	VB
work_oavbptqpunch5jy27k3m3zb5yi	327	22	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	327	23	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	327	24	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	327	25	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	327	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	328	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	2	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	328	3	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	328	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	328	5	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	328	6	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	8	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	328	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	11	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	328	12	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	328	13	constructed	construct	VBD
work_oavbptqpunch5jy27k3m3zb5yi	328	14	separately	separately	RB
work_oavbptqpunch5jy27k3m3zb5yi	328	15	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	17	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	328	18	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	328	19	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	20	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	23	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	328	24	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	328	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	26	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	328	27	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	328	28	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	328	29	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	30	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	328	31	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	328	32	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	328	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	328	34	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	328	35	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	328	36	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	37	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	328	38	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	328	39	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	328	40	4	4	CD
work_oavbptqpunch5jy27k3m3zb5yi	328	41	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	329	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	329	2	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	329	3	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	329	4	evaluation	evaluation	NN
work_oavbptqpunch5jy27k3m3zb5yi	329	5	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	329	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	329	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	329	8	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	329	9	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	329	10	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	329	11	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	329	12	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	329	13	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	329	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	329	15	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	329	16	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	329	17	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	329	18	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	329	19	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	329	20	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	329	21	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	329	22	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	329	23	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	329	24	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	329	25	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	329	26	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	329	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	330	1	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	2	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	4	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	6	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	8	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	9	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	10	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	12	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	14	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	16	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	18	Precision	Precision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	20	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	22	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	23	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	25	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	26	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	27	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	29	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	31	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	32	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	33	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	34	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	35	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	36	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	37	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	38	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	39	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	40	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	41	0.95	0.95	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	43	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	45	0.948	0.948	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	46	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	47	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	48	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	49	0.947	0.947	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	50	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	51	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	52	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	53	0.949	0.949	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	54	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	55	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	56	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	57	342.001	342.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	58	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	59	30.593	30.593	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	60	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	61	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	62	96.7	96.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	63	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	64	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	65	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	66	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	67	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	68	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	69	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	70	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	71	0.97	0.97	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	72	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	73	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	74	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	75	0.963	0.963	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	76	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	77	0.004	0.004	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	78	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	79	0.962	0.962	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	80	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	81	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	82	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	83	0.966	0.966	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	84	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	85	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	86	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	87	829.889	829.889	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	88	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	89	113.608	113.608	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	90	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	91	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	92	96.3	96.3	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	93	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	94	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	95	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	96	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	97	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	98	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	99	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	100	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	101	0.97	0.97	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	102	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	103	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	104	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	105	0.961	0.961	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	106	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	107	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	108	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	109	0.96	0.96	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	110	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	111	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	112	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	113	0.965	0.965	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	114	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	115	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	116	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	117	776	776	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	118	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	119	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	330	120	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	121	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	330	122	97.6	97.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	123	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	124	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	125	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	126	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	127	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	128	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	129	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	130	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	131	0.975	0.975	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	132	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	133	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	134	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	135	0.975	0.975	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	136	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	137	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	138	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	139	0.975	0.975	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	140	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	141	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	142	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	143	0.975	0.975	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	144	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	145	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	146	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	147	1,723.223	1,723.223	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	148	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	149	714.441	714.441	LS
work_oavbptqpunch5jy27k3m3zb5yi	330	150	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	151	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	152	FUSION	FUSION	NNP
work_oavbptqpunch5jy27k3m3zb5yi	330	153	98.6	98.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	154	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	330	155	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	156	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	157	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	158	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	159	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	160	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	161	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	162	0.981	0.981	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	163	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	164	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	165	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	166	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	167	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	168	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	169	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	170	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	171	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	172	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	173	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	174	0.986	0.986	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	175	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	176	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	177	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	178	4,851	4,851	CD
work_oavbptqpunch5jy27k3m3zb5yi	330	179	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	180	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	330	181	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	330	182	Note	note	VB
work_oavbptqpunch5jy27k3m3zb5yi	330	183	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	330	184	Bold	bold	JJ
work_oavbptqpunch5jy27k3m3zb5yi	330	185	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	330	186	indicate	indicate	VBP
work_oavbptqpunch5jy27k3m3zb5yi	330	187	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	330	188	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	330	189	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	330	190	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	331	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	331	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	331	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	331	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	331	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	331	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	331	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	331	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	331	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	331	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	332	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	332	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	332	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	332	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	332	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	10	17/30	17/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	332	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_oavbptqpunch5jy27k3m3zb5yi	332	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	332	13	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	332	14	fusing	fusing	NN
work_oavbptqpunch5jy27k3m3zb5yi	332	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	332	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	332	17	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	332	18	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	19	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	332	20	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	332	21	improved	improve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	332	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	332	23	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	332	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	332	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	332	26	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	332	27	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	332	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	332	29	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	332	30	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	332	31	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	332	32	clear	clear	JJ
work_oavbptqpunch5jy27k3m3zb5yi	332	33	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	332	34	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	332	35	4	4	CD
work_oavbptqpunch5jy27k3m3zb5yi	332	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	333	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	333	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	333	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	333	4	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	333	5	increased	increase	VBD
work_oavbptqpunch5jy27k3m3zb5yi	333	6	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	333	7	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	333	8	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	333	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	333	10	0.995	0.995	CD
work_oavbptqpunch5jy27k3m3zb5yi	333	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	333	12	99.5	99.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	333	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	333	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	333	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	334	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	334	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	334	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	334	4	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	334	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	334	6	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	334	7	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	334	8	improved	improve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	334	9	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	334	10	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	334	11	yielding	yield	VBG
work_oavbptqpunch5jy27k3m3zb5yi	334	12	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	334	13	0.976	0.976	CD
work_oavbptqpunch5jy27k3m3zb5yi	334	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	334	15	97.6	97.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	334	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	334	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	334	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	334	19	0.984	0.984	CD
work_oavbptqpunch5jy27k3m3zb5yi	334	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	334	21	98.4	98.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	334	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	334	23	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	334	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	335	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	335	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	335	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	335	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	335	5	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	335	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	335	7	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	335	8	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	335	9	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	335	10	raised	raise	VBN
work_oavbptqpunch5jy27k3m3zb5yi	335	11	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	335	12	0.984	0.984	CD
work_oavbptqpunch5jy27k3m3zb5yi	335	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	335	14	98.4	98.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	335	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	335	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	335	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	335	18	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	335	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	335	20	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	335	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	335	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	335	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	336	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	336	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	336	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	336	4	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	336	5	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	336	6	increased	increase	VBN
work_oavbptqpunch5jy27k3m3zb5yi	336	7	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	336	8	2846	2846	CD
work_oavbptqpunch5jy27k3m3zb5yi	336	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	336	10	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	336	11	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	336	12	greater	great	JJR
work_oavbptqpunch5jy27k3m3zb5yi	336	13	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	336	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	336	15	DORs	dor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	336	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	336	17	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	336	18	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	336	19	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	336	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	337	1	Deep	deep	RB
work_oavbptqpunch5jy27k3m3zb5yi	337	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	337	3	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	337	4	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	337	5	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	6	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	337	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	337	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	11	System	System	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	337	13	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	337	14	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	337	16	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	17	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	18	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	337	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	337	20	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	337	22	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	23	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	337	24	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	337	25	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	337	26	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	337	27	examine	examine	VB
work_oavbptqpunch5jy27k3m3zb5yi	337	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	337	29	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	30	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	337	31	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	337	32	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	33	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	337	34	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	337	35	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	36	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	337	37	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	337	38	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	337	39	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	338	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	2	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	338	3	shows	show	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	338	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	338	5	comparison	comparison	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	338	7	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	338	9	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	10	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	338	11	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	338	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	338	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	338	15	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	338	16	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	338	18	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	19	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	338	21	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	338	23	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	24	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	338	25	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	26	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	338	27	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	338	28	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	338	29	cubic	cubic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	338	30	kernel	kernel	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	31	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	338	32	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	338	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	339	1	All	all	PDT
work_oavbptqpunch5jy27k3m3zb5yi	339	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	339	3	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	339	4	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	339	5	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	339	6	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	339	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	339	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	339	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	339	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	339	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	339	12	increased	increase	VBD
work_oavbptqpunch5jy27k3m3zb5yi	339	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	339	14	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	339	15	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	339	16	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	339	17	obvious	obvious	JJ
work_oavbptqpunch5jy27k3m3zb5yi	339	18	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	339	19	Table	Table	NNP
work_oavbptqpunch5jy27k3m3zb5yi	339	20	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	339	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	340	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	340	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	340	4	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	340	6	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	340	8	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	340	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	340	11	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	12	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	13	increased	increase	VBN
work_oavbptqpunch5jy27k3m3zb5yi	340	14	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	15	4	4	CD
work_oavbptqpunch5jy27k3m3zb5yi	340	16	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	340	17	evaluation	evaluation	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	18	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	340	19	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	340	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	340	21	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	340	22	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	23	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	340	24	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	340	25	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	340	26	individual	individual	NN
work_oavbptqpunch5jy27k3m3zb5yi	340	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	340	28	fused	fuse	VBD
work_oavbptqpunch5jy27k3m3zb5yi	340	29	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	340	30	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	340	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	341	1	Handcrafted	Handcrafted	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	2	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	3	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	4	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	5	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	341	6	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	8	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	9	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	10	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	12	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	14	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	16	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	18	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	19	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	20	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	21	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	22	Precision	Precision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	23	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	24	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	25	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	26	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	27	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	29	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	31	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	32	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	33	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	34	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	35	Statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	341	36	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	341	37	97.6	97.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	38	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	39	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	40	0.002	0.002	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	41	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	42	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	43	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	44	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	45	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	46	0.971	0.971	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	47	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	48	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	49	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	50	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	51	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	52	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	53	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	54	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	55	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	56	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	57	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	58	0.976	0.976	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	59	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	60	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	61	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	62	1584.334	1584.334	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	63	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	64	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	65	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	66	Fourth	fourth	JJ
work_oavbptqpunch5jy27k3m3zb5yi	341	67	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	68	DWT	dwt	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	69	95.2	95.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	70	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	71	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	72	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	73	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	74	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	75	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	76	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	77	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	78	0.951	0.951	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	79	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	80	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	81	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	82	0.953	0.953	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	83	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	84	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	85	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	86	0.953	0.953	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	87	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	88	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	89	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	90	0.952	0.952	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	91	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	92	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	93	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	94	389.5	389.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	95	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	96	45.89	45.89	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	97	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	98	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	99	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	341	100	93.6	93.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	101	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	102	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	103	0.002	0.002	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	104	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	105	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	106	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	107	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	108	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	109	0.931	0.931	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	110	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	111	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	112	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	113	0.94	0.94	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	114	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	115	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	116	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	117	0.94	0.94	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	118	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	119	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	120	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	121	0.936	0.936	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	122	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	123	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	124	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	125	208.143	208.143	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	126	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	127	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	128	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	129	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	341	130	FUSION	FUSION	VBD
work_oavbptqpunch5jy27k3m3zb5yi	341	131	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	132	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	341	133	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	134	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	135	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	136	0.995	0.995	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	137	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	138	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	139	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	140	0.976	0.976	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	141	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	142	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	143	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	144	0.984	0.984	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	145	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	146	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	147	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	148	0.984	0.984	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	149	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	150	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	151	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	152	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	153	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	154	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	155	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	156	2,846.455	2,846.455	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	157	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	158	1,607.139	1,607.139	CD
work_oavbptqpunch5jy27k3m3zb5yi	341	159	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	341	160	Note	note	VB
work_oavbptqpunch5jy27k3m3zb5yi	341	161	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	341	162	Bold	bold	JJ
work_oavbptqpunch5jy27k3m3zb5yi	341	163	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	341	164	indicate	indicate	VBP
work_oavbptqpunch5jy27k3m3zb5yi	341	165	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	341	166	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	341	167	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	341	168	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	342	1	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	342	2	8	8	CD
work_oavbptqpunch5jy27k3m3zb5yi	342	3	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	342	4	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	342	5	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	342	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	342	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	342	8	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	342	9	levels	level	NNS
work_oavbptqpunch5jy27k3m3zb5yi	342	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	342	11	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	342	12	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	342	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	343	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	343	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	343	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	343	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	343	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	343	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	343	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	343	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	343	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	11	/	/	NFP
work_oavbptqpunch5jy27k3m3zb5yi	343	12	fig-8	fig-8	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	343	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	343	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	343	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	343	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	343	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	343	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	344	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	344	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	344	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	344	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	344	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	344	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	344	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	344	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	344	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	344	10	18/30	18/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	344	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-8	http://dx.doi.org/10.7717/peerj-cs.306/fig-8	NNP
work_oavbptqpunch5jy27k3m3zb5yi	344	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_oavbptqpunch5jy27k3m3zb5yi	344	13	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	344	14	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	344	15	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	344	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	344	17	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	344	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	345	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	345	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	345	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	345	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	345	5	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	345	6	rose	rise	VBD
work_oavbptqpunch5jy27k3m3zb5yi	345	7	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	345	8	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	345	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	345	10	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	345	11	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	345	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	345	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	345	14	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	345	15	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	345	16	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	345	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	345	18	computed	compute	VBN
work_oavbptqpunch5jy27k3m3zb5yi	345	19	ROC	ROC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	345	20	curve	curve	NN
work_oavbptqpunch5jy27k3m3zb5yi	345	21	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	345	22	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	345	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	346	1	9	9	CD
work_oavbptqpunch5jy27k3m3zb5yi	346	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	347	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	347	2	comparison	comparison	NN
work_oavbptqpunch5jy27k3m3zb5yi	347	3	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	347	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	347	5	accuracies	accuracy	NNS
work_oavbptqpunch5jy27k3m3zb5yi	347	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	347	7	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	8	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	347	9	constructed	construct	VBD
work_oavbptqpunch5jy27k3m3zb5yi	347	10	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	347	11	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	347	12	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	347	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	347	15	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	347	16	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	17	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	347	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	347	19	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	20	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	347	21	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	347	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	347	23	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	24	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	347	25	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	347	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	347	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	347	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	347	29	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	347	30	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	31	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	347	32	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	33	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	347	34	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	347	35	given	give	VBN
work_oavbptqpunch5jy27k3m3zb5yi	347	36	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	347	37	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	347	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	348	1	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	348	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	349	1	As	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	349	2	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	349	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	349	4	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	349	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	350	1	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	350	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	350	3	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	350	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	350	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	350	6	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	350	7	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	350	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	350	9	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	350	10	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	350	11	attained	attain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	350	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	350	13	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	350	14	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	350	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	351	1	DISCUSSIONS	DISCUSSIONS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	351	2	Currently	currently	RB
work_oavbptqpunch5jy27k3m3zb5yi	351	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	351	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	351	5	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	351	6	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	351	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	351	8	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	351	9	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	351	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	351	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	351	12	global	global	JJ
work_oavbptqpunch5jy27k3m3zb5yi	351	13	terrific	terrific	JJ
work_oavbptqpunch5jy27k3m3zb5yi	351	14	health	health	NN
work_oavbptqpunch5jy27k3m3zb5yi	351	15	crisis	crisis	NN
work_oavbptqpunch5jy27k3m3zb5yi	351	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	352	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	352	2	quick	quick	JJ
work_oavbptqpunch5jy27k3m3zb5yi	352	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	352	4	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	352	5	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	352	6	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	352	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	352	8	vital	vital	JJ
work_oavbptqpunch5jy27k3m3zb5yi	352	9	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	352	10	manage	manage	VB
work_oavbptqpunch5jy27k3m3zb5yi	352	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	352	12	propagation	propagation	NN
work_oavbptqpunch5jy27k3m3zb5yi	352	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	352	14	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	352	15	pandemic	pandemic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	352	16	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	352	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	352	18	assist	assist	NN
work_oavbptqpunch5jy27k3m3zb5yi	352	19	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	352	20	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	352	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	352	22	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	352	23	especially	especially	RB
work_oavbptqpunch5jy27k3m3zb5yi	352	24	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	352	25	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	352	26	load	load	NN
work_oavbptqpunch5jy27k3m3zb5yi	352	27	conditions	condition	NNS
work_oavbptqpunch5jy27k3m3zb5yi	352	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	353	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	353	2	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	353	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	353	4	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	353	5	laboratory	laboratory	NN
work_oavbptqpunch5jy27k3m3zb5yi	353	6	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	353	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	353	8	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	353	9	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	353	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	353	11	known	know	VBN
work_oavbptqpunch5jy27k3m3zb5yi	353	12	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	353	13	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	353	14	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	353	15	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	353	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	353	17	but	but	CC
work_oavbptqpunch5jy27k3m3zb5yi	353	18	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	353	19	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	353	20	poor	poor	JJ
work_oavbptqpunch5jy27k3m3zb5yi	353	21	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	353	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	353	23	inadequate	inadequate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	353	24	availability	availability	NN
work_oavbptqpunch5jy27k3m3zb5yi	353	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	354	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	354	2	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	354	3	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	354	4	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	354	5	expensive	expensive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	354	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	354	7	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	354	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	354	9	consuming	consume	VBG
work_oavbptqpunch5jy27k3m3zb5yi	354	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	354	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	354	12	requires	require	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	354	13	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	354	14	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	354	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	354	16	equipped	equip	VBN
work_oavbptqpunch5jy27k3m3zb5yi	354	17	laboratory	laboratory	NN
work_oavbptqpunch5jy27k3m3zb5yi	354	18	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	354	19	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	354	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	354	21	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	354	22	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	354	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	354	24	main	main	JJ
work_oavbptqpunch5jy27k3m3zb5yi	354	25	challenge	challenge	NN
work_oavbptqpunch5jy27k3m3zb5yi	354	26	particularly	particularly	RB
work_oavbptqpunch5jy27k3m3zb5yi	354	27	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	354	28	developing	develop	VBG
work_oavbptqpunch5jy27k3m3zb5yi	354	29	countries	country	NNS
work_oavbptqpunch5jy27k3m3zb5yi	354	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	354	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	355	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	355	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	355	3	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	355	4	faster	fast	JJR
work_oavbptqpunch5jy27k3m3zb5yi	355	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	355	6	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	7	alternative	alternative	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	8	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	9	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	355	10	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	355	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	355	12	crucial	crucial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	13	need	need	NN
work_oavbptqpunch5jy27k3m3zb5yi	355	14	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	355	15	help	help	VB
work_oavbptqpunch5jy27k3m3zb5yi	355	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	355	17	front	front	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	18	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	355	19	line	line	NN
work_oavbptqpunch5jy27k3m3zb5yi	355	20	professionals	professional	NNS
work_oavbptqpunch5jy27k3m3zb5yi	355	21	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	355	22	attain	attain	VB
work_oavbptqpunch5jy27k3m3zb5yi	355	23	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	355	24	fast	fast	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	355	26	precise	precise	JJ
work_oavbptqpunch5jy27k3m3zb5yi	355	27	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	355	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	356	1	Medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	356	2	imaging	imaging	NN
work_oavbptqpunch5jy27k3m3zb5yi	356	3	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	356	4	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	356	5	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	356	6	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	356	7	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	356	8	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	356	9	effective	effective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	356	10	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	356	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	356	12	visualize	visualize	VB
work_oavbptqpunch5jy27k3m3zb5yi	356	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	356	14	lungs	lung	NNS
work_oavbptqpunch5jy27k3m3zb5yi	356	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	356	16	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	356	17	assist	assist	VB
work_oavbptqpunch5jy27k3m3zb5yi	356	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	356	19	early	early	JJ
work_oavbptqpunch5jy27k3m3zb5yi	356	20	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	356	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	356	22	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	356	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	357	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	357	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	357	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	357	4	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	357	5	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	357	6	achieve	achieve	VB
work_oavbptqpunch5jy27k3m3zb5yi	357	7	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	357	8	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	357	9	when	when	WRB
work_oavbptqpunch5jy27k3m3zb5yi	357	10	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	357	11	alone	alone	RB
work_oavbptqpunch5jy27k3m3zb5yi	357	12	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	357	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	357	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	357	15	likeness	likeness	NN
work_oavbptqpunch5jy27k3m3zb5yi	357	16	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	357	17	patterns	pattern	NNS
work_oavbptqpunch5jy27k3m3zb5yi	357	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	357	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	357	20	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	357	21	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	357	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	357	23	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	357	24	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	357	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	357	26	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	357	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	357	28	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	357	29	could	could	MD
work_oavbptqpunch5jy27k3m3zb5yi	357	30	confuse	confuse	VB
work_oavbptqpunch5jy27k3m3zb5yi	357	31	specialists	specialist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	357	32	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	357	33	lead	lead	NN
work_oavbptqpunch5jy27k3m3zb5yi	357	34	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	357	35	misdiagnosis	misdiagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	357	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	358	1	On	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	358	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	358	3	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	358	4	hand	hand	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	358	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	7	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	358	8	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	358	9	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	358	10	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	11	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	358	12	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	358	13	proven	prove	VBN
work_oavbptqpunch5jy27k3m3zb5yi	358	14	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	358	15	have	have	VB
work_oavbptqpunch5jy27k3m3zb5yi	358	16	stronger	strong	JJR
work_oavbptqpunch5jy27k3m3zb5yi	358	17	discriminating	discriminate	VBG
work_oavbptqpunch5jy27k3m3zb5yi	358	18	ability	ability	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	358	20	distinguish	distinguish	VB
work_oavbptqpunch5jy27k3m3zb5yi	358	21	COVID-19	COVID-19	:
work_oavbptqpunch5jy27k3m3zb5yi	358	22	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	358	23	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	358	24	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	358	25	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	358	26	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	358	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	358	28	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	358	29	more	more	RBR
work_oavbptqpunch5jy27k3m3zb5yi	358	30	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	358	31	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	358	32	faster	fast	JJR
work_oavbptqpunch5jy27k3m3zb5yi	358	33	capabilities	capability	NNS
work_oavbptqpunch5jy27k3m3zb5yi	358	34	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	358	35	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	358	36	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	37	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	358	38	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	39	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	358	40	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	358	41	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	358	42	pathogenic	pathogenic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	358	43	exam	exam	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	44	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	358	45	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	358	46	consequently	consequently	RB
work_oavbptqpunch5jy27k3m3zb5yi	358	47	lessens	lessen	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	358	48	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	358	49	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	50	desired	desire	VBN
work_oavbptqpunch5jy27k3m3zb5yi	358	51	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	358	52	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	53	control	control	NN
work_oavbptqpunch5jy27k3m3zb5yi	358	54	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	358	55	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	56	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	358	57	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	58	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	59	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	358	60	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	358	61	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	358	62	Shi	Shi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	63	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	358	64	Han	Han	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	65	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	358	66	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	358	67	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	358	68	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	358	69	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	358	70	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	359	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	359	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	359	3	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	359	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	359	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	359	6	faster	fast	JJR
work_oavbptqpunch5jy27k3m3zb5yi	359	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	359	8	more	more	RBR
work_oavbptqpunch5jy27k3m3zb5yi	359	9	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	359	10	resolution	resolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	359	11	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	359	12	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	359	13	instead	instead	RB
work_oavbptqpunch5jy27k3m3zb5yi	359	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	359	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	359	16	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	359	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	359	18	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	359	19	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	359	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	360	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	360	2	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	360	3	resolution	resolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	360	4	presented	present	VBD
work_oavbptqpunch5jy27k3m3zb5yi	360	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	360	6	novel	novel	NN
work_oavbptqpunch5jy27k3m3zb5yi	360	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	360	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	360	9	called	call	VBN
work_oavbptqpunch5jy27k3m3zb5yi	360	10	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	360	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	360	12	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	360	13	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	360	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	361	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	361	2	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	361	3	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	361	4	comparison	comparison	NN
work_oavbptqpunch5jy27k3m3zb5yi	361	5	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	361	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	361	7	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	361	8	scores	score	NNS
work_oavbptqpunch5jy27k3m3zb5yi	361	9	obtained	obtain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	361	10	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	361	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	361	12	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	361	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	361	14	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	361	15	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	361	16	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	361	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	361	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	361	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	361	20	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	361	21	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	361	22	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	361	23	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	361	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	362	1	Accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	2	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	3	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	4	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	6	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	7	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	8	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	9	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	11	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	12	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	13	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	16	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	17	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	18	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	19	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	20	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	21	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	22	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	23	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	25	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	26	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	28	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	29	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	31	Specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	32	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	33	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	34	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	35	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	36	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	37	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	38	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	39	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	40	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	41	Precision	Precision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	42	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	43	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	45	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	46	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	47	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	48	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	49	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	50	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	51	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	52	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	53	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	54	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	55	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	56	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	57	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	58	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	59	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	60	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	61	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	62	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	63	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	64	std	std	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	65	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	66	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	67	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	68	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	69	Confidence	Confidence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	70	Interval	Interval	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	71	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	72	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	73	FUSION	FUSION	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	74	98.6	98.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	75	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	76	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	77	0.981	0.981	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	78	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	79	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	80	0.986	0.986	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	81	4,851	4,851	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	82	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	83	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	84	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	85	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	86	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	87	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	88	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	89	0.001	0.001	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	90	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	91	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	92	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	93	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	94	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	95	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	96	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	97	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	98	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	99	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	100	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	101	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	102	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	103	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	104	0.985–0.986	0.985–0.986	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	105	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	106	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	107	1–1	1–1	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	108	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	109	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	110	0.981–0.981	0.981–0.981	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	111	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	112	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	113	0.99–0.99	0.99–0.99	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	114	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	115	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	116	0.99–0.99	0.99–0.99	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	117	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	118	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	119	0.986–0.986	0.986–0.986	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	120	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	121	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	122	4,851–4,851	4,851–4,851	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	123	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	124	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	125	FUSION	FUSION	VBD
work_oavbptqpunch5jy27k3m3zb5yi	362	126	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	127	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	128	0.995	0.995	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	129	0.976	0.976	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	130	0.984	0.984	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	131	0.984	0.984	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	132	0.98	0.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	133	2,846.455	2,846.455	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	134	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	135	0.003	0.003	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	136	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	137	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	138	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	139	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	140	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	141	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	142	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	143	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	144	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	145	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	146	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	147	0.006	0.006	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	148	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	149	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	150	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	151	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	152	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	153	1,607.139	1,607.139	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	154	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	155	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	156	0.978–0.981	0.978–0.981	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	157	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	158	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	159	0.992–0.997	0.992–0.997	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	160	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	161	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	162	0.973–0.978	0.973–0.978	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	163	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	164	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	165	0.981–0.986	0.981–0.986	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	166	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	167	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	168	0.981–0.986	0.981–0.986	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	169	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	170	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	171	0.977–0.983	0.977–0.983	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	172	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	173	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	174	1,968.2–3,724.7	1,968.2–3,724.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	175	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	176	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	177	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	362	178	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	179	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	180	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	181	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	182	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	183	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	184	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	185	0.99	0.99	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	186	9,801	9,801	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	187	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	188	0.002	0.002	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	189	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	190	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	191	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	192	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	193	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	194	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	195	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	196	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	197	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	198	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	199	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	200	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	201	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	202	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	203	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	204	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	205	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	206	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	362	207	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	208	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	209	0.988–0.991	0.988–0.991	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	210	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	211	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	212	1–1	1–1	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	213	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	214	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	215	0.99–0.99	0.99–0.99	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	216	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	217	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	218	0.99–0.99	0.99–0.99	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	219	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	220	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	221	0.99–0.99	0.99–0.99	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	222	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	223	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	224	0.99–0.99	0.99–0.99	NNP
work_oavbptqpunch5jy27k3m3zb5yi	362	225	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	226	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	227	9,801–9,801	9,801–9,801	CD
work_oavbptqpunch5jy27k3m3zb5yi	362	228	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	362	229	Note	note	NN
work_oavbptqpunch5jy27k3m3zb5yi	362	230	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	362	231	Bold	bold	JJ
work_oavbptqpunch5jy27k3m3zb5yi	362	232	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	362	233	indicate	indicate	VBP
work_oavbptqpunch5jy27k3m3zb5yi	362	234	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	362	235	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	362	236	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	362	237	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	363	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	363	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	363	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	363	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	363	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	363	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	363	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	363	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	363	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	363	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	364	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	364	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	364	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	364	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	364	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	10	19/30	19/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	364	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_oavbptqpunch5jy27k3m3zb5yi	364	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	364	13	Recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	364	14	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	364	15	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	364	16	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	364	17	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	364	18	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	364	19	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	364	20	problems	problem	NNS
work_oavbptqpunch5jy27k3m3zb5yi	364	21	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	364	22	suggested	suggest	VBN
work_oavbptqpunch5jy27k3m3zb5yi	364	23	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	364	24	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	364	25	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	26	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	364	27	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	364	28	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	364	29	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	364	30	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	364	31	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	364	32	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	364	33	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	364	34	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	364	35	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	364	36	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	364	37	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	364	38	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	39	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	364	40	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	41	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	42	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	364	43	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	364	44	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	364	45	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	46	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	364	47	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	48	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	49	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	364	50	2019a	2019a	LS
work_oavbptqpunch5jy27k3m3zb5yi	364	51	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	364	52	Hansley	Hansley	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	53	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	364	54	Segundo	Segundo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	55	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	364	56	Sarkar	Sarkar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	364	57	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	364	58	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	364	59	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	364	60	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	365	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	365	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	365	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	365	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	365	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	365	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	365	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	365	8	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	365	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	365	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	365	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	365	12	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	365	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	365	14	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	365	15	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	365	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	365	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	365	18	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	365	19	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	365	20	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	365	21	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	365	22	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	365	23	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	365	24	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	365	25	investigate	investigate	VB
work_oavbptqpunch5jy27k3m3zb5yi	365	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	365	27	effect	effect	NN
work_oavbptqpunch5jy27k3m3zb5yi	365	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	365	29	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	365	30	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	365	31	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	365	32	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	365	33	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	365	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	365	35	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	365	36	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	365	37	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	365	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	366	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	366	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	366	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	366	4	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	366	5	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	366	6	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	366	7	examined	examine	VBD
work_oavbptqpunch5jy27k3m3zb5yi	366	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	366	9	influence	influence	NN
work_oavbptqpunch5jy27k3m3zb5yi	366	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	366	11	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	366	12	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	366	13	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	366	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	366	15	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	366	16	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	366	17	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	366	18	pre	pre	JJ
work_oavbptqpunch5jy27k3m3zb5yi	366	19	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	366	20	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	366	21	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	366	22	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	366	23	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	366	24	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	366	25	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	366	26	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	366	27	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	366	28	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	366	29	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	366	30	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	366	31	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	366	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	367	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	367	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	367	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	367	4	studied	study	VBD
work_oavbptqpunch5jy27k3m3zb5yi	367	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	367	6	impact	impact	NN
work_oavbptqpunch5jy27k3m3zb5yi	367	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	367	8	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	367	9	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	367	10	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	367	11	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	367	12	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	367	13	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	367	14	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	367	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	367	16	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	367	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	367	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	367	19	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	367	20	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	367	21	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	367	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	367	23	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	367	24	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	367	25	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	367	26	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	367	27	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	367	28	illustrated	illustrate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	367	29	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	367	30	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	367	31	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	367	32	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	367	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	367	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	368	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	368	2	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	368	3	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	368	4	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	368	5	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	368	6	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	368	7	important	important	JJ
work_oavbptqpunch5jy27k3m3zb5yi	368	8	trial	trial	NN
work_oavbptqpunch5jy27k3m3zb5yi	368	9	involving	involve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	368	10	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	368	11	simple	simple	NN
work_oavbptqpunch5jy27k3m3zb5yi	368	12	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	368	13	set	set	VB
work_oavbptqpunch5jy27k3m3zb5yi	368	14	up	up	RP
work_oavbptqpunch5jy27k3m3zb5yi	368	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	368	16	low	low	JJ
work_oavbptqpunch5jy27k3m3zb5yi	368	17	cost	cost	NN
work_oavbptqpunch5jy27k3m3zb5yi	368	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	368	19	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	368	20	automated	automate	VBD
work_oavbptqpunch5jy27k3m3zb5yi	368	21	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	368	22	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	368	23	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	368	24	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	368	25	attain	attain	VB
work_oavbptqpunch5jy27k3m3zb5yi	368	26	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	368	27	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	368	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	368	29	effective	effective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	368	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	368	31	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	368	32	fast	fast	JJ
work_oavbptqpunch5jy27k3m3zb5yi	368	33	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	368	34	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	368	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	369	1	Throughout	throughout	IN
work_oavbptqpunch5jy27k3m3zb5yi	369	2	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	369	3	tough	tough	JJ
work_oavbptqpunch5jy27k3m3zb5yi	369	4	period	period	NN
work_oavbptqpunch5jy27k3m3zb5yi	369	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	369	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	369	7	global	global	JJ
work_oavbptqpunch5jy27k3m3zb5yi	369	8	pandemic	pandemic	NN
work_oavbptqpunch5jy27k3m3zb5yi	369	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	369	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	369	11	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	369	12	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	369	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	369	14	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	369	15	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	369	16	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	369	17	huge	huge	JJ
work_oavbptqpunch5jy27k3m3zb5yi	369	18	potential	potential	NN
work_oavbptqpunch5jy27k3m3zb5yi	369	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	369	20	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	369	21	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	369	22	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	369	23	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	369	24	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	369	25	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	369	26	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	369	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	370	1	It	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	370	2	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	370	3	attain	attain	VB
work_oavbptqpunch5jy27k3m3zb5yi	370	4	early	early	JJ
work_oavbptqpunch5jy27k3m3zb5yi	370	5	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	370	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	370	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	370	8	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	370	9	corona	corona	NN
work_oavbptqpunch5jy27k3m3zb5yi	370	10	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	370	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	370	12	thus	thus	RB
work_oavbptqpunch5jy27k3m3zb5yi	370	13	averting	avert	VBG
work_oavbptqpunch5jy27k3m3zb5yi	370	14	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	370	15	rapid	rapid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	370	16	propagation	propagation	NN
work_oavbptqpunch5jy27k3m3zb5yi	370	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	371	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	371	2	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	371	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	5	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	371	6	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	371	7	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	371	8	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	9	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	371	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	371	11	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	371	12	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	371	13	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	371	14	more	more	RBR
work_oavbptqpunch5jy27k3m3zb5yi	371	15	powerful	powerful	JJ
work_oavbptqpunch5jy27k3m3zb5yi	371	16	ability	ability	NN
work_oavbptqpunch5jy27k3m3zb5yi	371	17	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	371	18	distinguish	distinguish	VB
work_oavbptqpunch5jy27k3m3zb5yi	371	19	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	371	20	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	371	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	371	22	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	371	23	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	371	24	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	371	25	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	26	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	371	27	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	371	28	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	371	29	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	371	30	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	371	31	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	32	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	371	33	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	34	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	371	35	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	371	36	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	371	37	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	371	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	372	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	372	2	superiority	superiority	NN
work_oavbptqpunch5jy27k3m3zb5yi	372	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	372	4	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	5	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	372	6	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	372	7	confirmed	confirm	VBN
work_oavbptqpunch5jy27k3m3zb5yi	372	8	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	372	9	related	relate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	372	10	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	372	11	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	372	12	various	various	JJ
work_oavbptqpunch5jy27k3m3zb5yi	372	13	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	372	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	372	15	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	16	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	17	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	18	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	372	20	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	372	21	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	372	22	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	23	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	24	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	25	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	372	27	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	372	28	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	372	29	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	30	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	372	31	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	32	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	372	34	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	372	35	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	372	36	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	372	37	who	who	WP
work_oavbptqpunch5jy27k3m3zb5yi	372	38	compared	compare	VBD
work_oavbptqpunch5jy27k3m3zb5yi	372	39	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	372	40	9	9	CD
work_oavbptqpunch5jy27k3m3zb5yi	372	41	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	372	42	ROC	ROC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	43	curve	curve	NN
work_oavbptqpunch5jy27k3m3zb5yi	372	44	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	372	45	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	372	46	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	47	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	372	48	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	372	49	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	372	50	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	373	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	373	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	373	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	373	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	373	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	373	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	373	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	373	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	373	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	373	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	373	11	/	/	NFP
work_oavbptqpunch5jy27k3m3zb5yi	373	12	fig-9	fig-9	NFP
work_oavbptqpunch5jy27k3m3zb5yi	373	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	373	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	373	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	373	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	373	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	373	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	373	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	373	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	373	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	373	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	374	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	374	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	374	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	374	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	374	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	10	20/30	20/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	374	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-9	http://dx.doi.org/10.7717/peerj-cs.306/fig-9	NN
work_oavbptqpunch5jy27k3m3zb5yi	374	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	374	13	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	374	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	374	15	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	374	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	17	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	374	18	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	19	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	374	20	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	374	21	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	22	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	23	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	374	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	374	25	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	374	27	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	374	28	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	374	29	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	30	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	374	31	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	374	32	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	374	33	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	34	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	374	35	without	without	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	36	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	374	37	aid	aid	NN
work_oavbptqpunch5jy27k3m3zb5yi	374	38	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	374	39	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	374	40	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	374	41	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	374	42	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	375	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	375	2	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	375	3	attained	attain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	375	4	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	375	5	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	375	6	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	375	7	verified	verify	VBD
work_oavbptqpunch5jy27k3m3zb5yi	375	8	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	375	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	375	10	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	375	11	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	375	12	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	375	13	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	375	14	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	375	15	greater	great	JJR
work_oavbptqpunch5jy27k3m3zb5yi	375	16	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	375	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	375	18	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	375	19	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	375	20	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	375	21	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	375	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	376	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	376	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	376	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	376	4	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	376	5	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	376	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	376	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	377	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	4	indicated	indicate	VBD
work_oavbptqpunch5jy27k3m3zb5yi	377	5	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	377	6	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	377	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	377	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	377	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	377	11	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	377	12	reached	reach	VBD
work_oavbptqpunch5jy27k3m3zb5yi	377	13	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	377	14	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	15	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	17	96	96	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	19	vs.	vs.	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	20	85	85	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	377	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	377	25	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	26	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	377	27	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	28	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	30	vs.	vs.	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	31	79	79	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	377	35	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	377	36	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	37	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	38	96	96	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	39	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	40	vs.	vs.	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	41	88	88	CD
work_oavbptqpunch5jy27k3m3zb5yi	377	42	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	377	43	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	377	44	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	377	45	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	377	46	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	378	1	Similarly	similarly	RB
work_oavbptqpunch5jy27k3m3zb5yi	378	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	378	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	378	4	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	378	5	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	378	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	378	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	379	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	379	5	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	379	6	attained	attain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	379	7	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	379	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	379	9	radiologist	radiologist	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	10	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	379	11	worse	bad	JJR
work_oavbptqpunch5jy27k3m3zb5yi	379	12	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	379	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	379	14	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	379	15	’	’	POS
work_oavbptqpunch5jy27k3m3zb5yi	379	16	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	379	17	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	379	18	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	379	19	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	379	20	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	379	21	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	379	23	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	379	24	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	379	25	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	26	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	379	27	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	28	89.21	89.21	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	29	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	30	vs.	vs.	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	31	98.04	98.04	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	32	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	33	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	379	35	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	379	36	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	37	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	379	38	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	39	83.33	83.33	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	40	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	41	vs.	vs.	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	42	98.04	98.04	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	43	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	44	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	45	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	379	46	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	379	47	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	379	48	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	49	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	379	50	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	51	86.27	86.27	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	52	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	53	vs.	vs.	CC
work_oavbptqpunch5jy27k3m3zb5yi	379	54	99.5	99.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	379	55	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	379	56	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	379	57	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	380	1	Whereas	whereas	IN
work_oavbptqpunch5jy27k3m3zb5yi	380	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	380	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	380	4	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	380	5	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	380	6	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	380	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	381	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	381	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	381	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	381	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	381	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	381	6	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	381	7	indicated	indicate	VBD
work_oavbptqpunch5jy27k3m3zb5yi	381	8	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	381	9	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	381	10	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	381	11	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	381	12	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	381	13	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	381	14	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	381	15	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	381	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	381	17	lowering	lower	VBG
work_oavbptqpunch5jy27k3m3zb5yi	381	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	381	19	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	381	20	radiologist	radiologist	NN
work_oavbptqpunch5jy27k3m3zb5yi	381	21	’s	’s	POS
work_oavbptqpunch5jy27k3m3zb5yi	381	22	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	381	23	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	381	24	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	381	25	65	65	CD
work_oavbptqpunch5jy27k3m3zb5yi	381	26	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	381	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	382	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	382	2	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	382	3	proved	prove	VBD
work_oavbptqpunch5jy27k3m3zb5yi	382	4	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	5	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	6	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	382	7	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	382	8	could	could	MD
work_oavbptqpunch5jy27k3m3zb5yi	382	9	enhance	enhance	VB
work_oavbptqpunch5jy27k3m3zb5yi	382	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	382	11	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	382	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	13	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	382	14	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	382	16	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	382	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	382	19	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	20	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	382	21	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	382	22	increased	increase	VBN
work_oavbptqpunch5jy27k3m3zb5yi	382	23	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	24	98.6	98.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	382	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	382	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	382	27	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	382	28	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	382	29	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	382	30	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	31	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	382	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	382	34	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	382	35	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	36	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	382	37	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	382	38	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	39	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	382	41	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	42	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	382	43	ShuffleNet	ShuffleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	44	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	382	45	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	382	46	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	382	47	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	382	48	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	49	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	382	50	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	382	51	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	382	52	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	383	1	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	383	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	384	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	384	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	384	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	384	4	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	384	5	indicated	indicate	VBD
work_oavbptqpunch5jy27k3m3zb5yi	384	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	384	7	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	384	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	384	9	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	384	10	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	384	11	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	384	12	improved	improve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	384	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	384	14	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	384	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	384	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	384	17	SVM	SVM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	384	18	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	384	19	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	384	20	reach	reach	VB
work_oavbptqpunch5jy27k3m3zb5yi	384	21	98	98	CD
work_oavbptqpunch5jy27k3m3zb5yi	384	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	384	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	384	24	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	384	25	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	384	26	better	well	JJR
work_oavbptqpunch5jy27k3m3zb5yi	384	27	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	384	28	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	384	29	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	384	30	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	384	31	DWT	DWT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	384	32	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	384	33	GLCM	GLCM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	384	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	384	35	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	384	36	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	384	37	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	384	38	separately	separately	RB
work_oavbptqpunch5jy27k3m3zb5yi	384	39	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	385	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	385	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	385	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	385	4	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	385	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	385	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	385	7	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	385	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	385	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	385	12	verified	verify	VBD
work_oavbptqpunch5jy27k3m3zb5yi	385	13	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	385	14	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	385	15	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	385	17	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	18	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	385	19	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	385	20	successfully	successfully	RB
work_oavbptqpunch5jy27k3m3zb5yi	385	21	improved	improve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	385	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	385	23	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	385	24	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	385	25	reach	reach	VB
work_oavbptqpunch5jy27k3m3zb5yi	385	26	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	385	27	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	385	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	385	29	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	385	30	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	385	31	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	385	32	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	385	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	385	34	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	385	35	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	385	36	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	385	37	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	385	38	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	385	39	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	40	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	385	41	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	385	42	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	43	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	385	44	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	385	45	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	385	46	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	385	47	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	48	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	385	49	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	385	50	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	385	51	fused	fuse	VBD
work_oavbptqpunch5jy27k3m3zb5yi	385	52	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	53	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	385	54	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	385	55	shown	show	VBN
work_oavbptqpunch5jy27k3m3zb5yi	385	56	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	385	57	Fig	Fig	NNP
work_oavbptqpunch5jy27k3m3zb5yi	385	58	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	386	1	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	386	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	387	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	387	2	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	387	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	387	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	387	5	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	387	6	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	387	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	387	8	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	387	9	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	387	10	recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	387	11	related	relate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	387	12	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	387	13	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	387	14	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	387	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	387	16	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	387	17	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	387	18	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	387	19	verify	verify	VB
work_oavbptqpunch5jy27k3m3zb5yi	387	20	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	387	21	competence	competence	NN
work_oavbptqpunch5jy27k3m3zb5yi	387	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	388	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	2	6	6	CD
work_oavbptqpunch5jy27k3m3zb5yi	388	3	shows	show	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	388	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	388	5	comparison	comparison	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	6	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	388	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	388	8	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	9	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	388	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	388	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	388	12	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	388	13	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	388	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	388	15	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	388	16	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	388	18	recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	388	19	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	388	20	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	388	21	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	388	22	Figure	figure	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	23	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	388	24	Comparisons	comparison	NNS
work_oavbptqpunch5jy27k3m3zb5yi	388	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	388	26	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	388	27	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	388	28	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	388	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	388	30	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	388	31	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	388	32	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	388	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	388	34	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	388	35	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	36	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	388	38	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	388	39	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	40	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	41	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	388	42	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	388	43	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	388	44	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	388	45	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	388	46	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	388	47	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	388	48	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	389	1	Full	full	JJ
work_oavbptqpunch5jy27k3m3zb5yi	389	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	389	3	size	size	NN
work_oavbptqpunch5jy27k3m3zb5yi	389	4	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	389	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	389	6	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	389	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	389	8	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	389	10	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	389	12	fig-10	fig-10	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	13	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	389	15	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	389	17	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	389	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	389	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	389	20	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	21	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	389	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	390	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	390	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	390	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	390	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	390	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	10	21/30	21/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	390	11	http://dx.doi.org/10.7717/peerj-cs.306/fig-10	http://dx.doi.org/10.7717/peerj-cs.306/fig-10	NN
work_oavbptqpunch5jy27k3m3zb5yi	390	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	13	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	14	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	390	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	390	16	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	390	18	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	19	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	390	21	scan	scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	390	22	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	390	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	391	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	391	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	4	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	391	5	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	391	8	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	391	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	10	1.00	1.00	CD
work_oavbptqpunch5jy27k3m3zb5yi	391	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	391	13	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	15	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	391	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	391	19	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	21	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	391	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	23	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	391	25	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	27	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	391	28	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	29	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	391	31	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	391	32	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	33	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	34	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	35	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	391	36	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	391	37	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	391	38	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	391	39	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	391	40	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	391	41	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	391	42	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	391	43	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	391	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	392	1	Soares	Soares	NNP
work_oavbptqpunch5jy27k3m3zb5yi	392	2	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	392	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	392	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	393	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	393	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	393	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	393	4	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	393	5	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	393	6	separate	separate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	393	7	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	393	8	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	393	9	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	393	10	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	393	11	x	x	LS
work_oavbptqpunch5jy27k3m3zb5yi	393	12	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	393	13	DNN	DNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	393	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	393	15	ResNet	ResNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	393	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	393	17	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	393	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	393	19	VGG-16	VGG-16	NNP
work_oavbptqpunch5jy27k3m3zb5yi	393	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	393	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	393	22	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	393	23	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	393	24	classify	classify	VB
work_oavbptqpunch5jy27k3m3zb5yi	393	25	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	393	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	394	1	They	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	394	2	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	394	3	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	394	4	AdaBoosting	adaboosting	NN
work_oavbptqpunch5jy27k3m3zb5yi	394	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	394	6	decision	decision	NN
work_oavbptqpunch5jy27k3m3zb5yi	394	7	trees	tree	NNS
work_oavbptqpunch5jy27k3m3zb5yi	394	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	394	9	DT	DT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	394	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	394	11	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	394	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	394	13	however	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	394	14	DT	DT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	394	15	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	394	16	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	394	17	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	394	18	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	394	19	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	394	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	395	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	395	2	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	395	3	result	result	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	395	5	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	395	6	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	395	7	x	x	NNP
work_oavbptqpunch5jy27k3m3zb5yi	395	8	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	9	DNN	DNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	395	10	reaching	reach	VBG
work_oavbptqpunch5jy27k3m3zb5yi	395	11	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	395	12	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	395	14	97.38	97.38	CD
work_oavbptqpunch5jy27k3m3zb5yi	395	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	395	17	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	395	19	97.36	97.36	CD
work_oavbptqpunch5jy27k3m3zb5yi	395	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	395	22	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	395	24	95.53	95.53	CD
work_oavbptqpunch5jy27k3m3zb5yi	395	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	395	27	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	395	29	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	395	30	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	395	32	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	395	33	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	34	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	35	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	395	36	97.31	97.31	CD
work_oavbptqpunch5jy27k3m3zb5yi	395	37	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	395	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	396	1	Whereas	whereas	IN
work_oavbptqpunch5jy27k3m3zb5yi	396	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	396	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	396	4	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	396	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	396	6	Panwar	Panwar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	396	7	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	396	8	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	396	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	397	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	397	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	397	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	397	4	presented	present	VBD
work_oavbptqpunch5jy27k3m3zb5yi	397	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	397	6	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	397	7	transfer	transfer	NN
work_oavbptqpunch5jy27k3m3zb5yi	397	8	learning	learn	VBG
work_oavbptqpunch5jy27k3m3zb5yi	397	9	algorithm	algorithm	NN
work_oavbptqpunch5jy27k3m3zb5yi	397	10	that	that	WDT
work_oavbptqpunch5jy27k3m3zb5yi	397	11	quickens	quicken	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	397	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	397	13	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	397	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	397	15	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	397	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	398	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	398	2	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	398	3	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	398	4	gradient	gradient	NNP
work_oavbptqpunch5jy27k3m3zb5yi	398	5	weighted	weighted	NNP
work_oavbptqpunch5jy27k3m3zb5yi	398	6	class	class	NN
work_oavbptqpunch5jy27k3m3zb5yi	398	7	activation	activation	NN
work_oavbptqpunch5jy27k3m3zb5yi	398	8	mapping	mapping	NN
work_oavbptqpunch5jy27k3m3zb5yi	398	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	398	10	Grad	Grad	NNP
work_oavbptqpunch5jy27k3m3zb5yi	398	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	398	12	CAM	CAM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	398	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	398	14	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	398	15	visualize	visualize	VB
work_oavbptqpunch5jy27k3m3zb5yi	398	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	398	17	plot	plot	VB
work_oavbptqpunch5jy27k3m3zb5yi	398	18	class	class	NN
work_oavbptqpunch5jy27k3m3zb5yi	398	19	activation	activation	NN
work_oavbptqpunch5jy27k3m3zb5yi	398	20	maps	map	NNS
work_oavbptqpunch5jy27k3m3zb5yi	398	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	399	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	399	2	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	399	3	assist	assist	VB
work_oavbptqpunch5jy27k3m3zb5yi	399	4	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	399	5	explaining	explain	VBG
work_oavbptqpunch5jy27k3m3zb5yi	399	6	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	399	7	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	399	8	about	about	IN
work_oavbptqpunch5jy27k3m3zb5yi	399	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	399	10	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	399	11	while	while	IN
work_oavbptqpunch5jy27k3m3zb5yi	399	12	carrying	carry	VBG
work_oavbptqpunch5jy27k3m3zb5yi	399	13	out	out	RP
work_oavbptqpunch5jy27k3m3zb5yi	399	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	399	15	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	399	16	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	399	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	400	1	An	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	400	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	4	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	400	5	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	400	7	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	9	96	96	CD
work_oavbptqpunch5jy27k3m3zb5yi	400	10	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	400	12	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	14	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	400	15	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	400	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	400	18	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	19	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	20	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	21	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	400	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	23	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	400	24	attained	attain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	400	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	400	26	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	400	27	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	400	28	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	400	29	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	30	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	400	31	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	400	32	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	400	33	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	34	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	35	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	400	36	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	37	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	400	38	only	only	RB
work_oavbptqpunch5jy27k3m3zb5yi	400	39	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	400	40	type	type	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	41	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	400	42	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	400	43	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	400	44	perform	perform	VB
work_oavbptqpunch5jy27k3m3zb5yi	400	45	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	400	46	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	400	47	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	401	1	On	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	401	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	401	3	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	401	4	hand	hand	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	401	6	Pathak	Pathak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	401	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	401	8	Shukla	Shukla	NNP
work_oavbptqpunch5jy27k3m3zb5yi	401	9	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	401	10	Arya	Arya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	401	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	401	12	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	401	13	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	401	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	401	15	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	401	16	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	401	17	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	401	18	bidirectional	bidirectional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	401	19	long	long	JJ
work_oavbptqpunch5jy27k3m3zb5yi	401	20	short	short	JJ
work_oavbptqpunch5jy27k3m3zb5yi	401	21	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	401	22	term	term	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	23	memory	memory	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	24	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	401	25	LSTM	LSTM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	401	26	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	401	27	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	28	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	401	29	mixture	mixture	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	30	density	density	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	31	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	32	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	401	33	DBM	DBM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	401	34	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	401	35	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	401	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	402	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	402	2	memetic	memetic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	402	3	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	402	4	differential	differential	NN
work_oavbptqpunch5jy27k3m3zb5yi	402	5	evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	402	6	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	402	7	MADE	MADE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	402	8	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	402	9	algorithm	algorithm	NNP
work_oavbptqpunch5jy27k3m3zb5yi	402	10	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	402	11	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	402	12	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	402	13	tune	tune	VB
work_oavbptqpunch5jy27k3m3zb5yi	402	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	402	15	hyper	hyper	NN
work_oavbptqpunch5jy27k3m3zb5yi	402	16	-	-	NNS
work_oavbptqpunch5jy27k3m3zb5yi	402	17	parameters	parameter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	402	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	402	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	402	20	DBM	DBM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	402	21	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	402	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	403	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	403	2	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	3	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	403	4	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	403	5	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	403	7	98.37	98.37	CD
work_oavbptqpunch5jy27k3m3zb5yi	403	8	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	403	10	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	403	12	98.2	98.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	403	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	403	15	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	403	17	98.87	98.87	CD
work_oavbptqpunch5jy27k3m3zb5yi	403	18	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	403	20	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	403	22	98.74	98.74	CD
work_oavbptqpunch5jy27k3m3zb5yi	403	23	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	403	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	403	26	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	27	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	403	29	98.14	98.14	CD
work_oavbptqpunch5jy27k3m3zb5yi	403	30	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	403	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	404	1	As	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	404	2	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	404	3	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	404	4	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	404	5	noted	note	VBN
work_oavbptqpunch5jy27k3m3zb5yi	404	6	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	404	7	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	404	8	6	6	CD
work_oavbptqpunch5jy27k3m3zb5yi	404	9	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	404	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	404	11	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	404	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	404	13	Soares	Soares	NNP
work_oavbptqpunch5jy27k3m3zb5yi	404	14	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	404	15	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	404	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	405	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	405	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	405	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	405	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	405	5	Panwar	Panwar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	405	6	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	405	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	405	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	406	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	406	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	406	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	406	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	406	5	Pathak	Pathak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	406	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	406	7	Shukla	Shukla	NNP
work_oavbptqpunch5jy27k3m3zb5yi	406	8	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	406	9	Arya	Arya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	406	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	406	11	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	406	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	406	13	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	406	14	utilized	utilize	VBN
work_oavbptqpunch5jy27k3m3zb5yi	406	15	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	406	16	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	406	17	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	406	18	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	406	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	407	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	407	2	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	407	3	did	do	VBD
work_oavbptqpunch5jy27k3m3zb5yi	407	4	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	407	5	neither	neither	CC
work_oavbptqpunch5jy27k3m3zb5yi	407	6	fuse	fuse	VB
work_oavbptqpunch5jy27k3m3zb5yi	407	7	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	407	8	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	407	9	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	407	10	nor	nor	CC
work_oavbptqpunch5jy27k3m3zb5yi	407	11	combine	combine	VB
work_oavbptqpunch5jy27k3m3zb5yi	407	12	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	407	13	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	407	14	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	407	15	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	407	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	407	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	408	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	408	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	408	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	408	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	408	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	408	8	fused	fuse	VBD
work_oavbptqpunch5jy27k3m3zb5yi	408	9	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	408	10	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	11	features	feature	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	408	12	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	408	13	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	408	14	HC	HC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	15	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	408	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	408	17	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	408	18	improved	improve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	408	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	408	20	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	408	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	408	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	408	23	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	24	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	408	25	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	408	26	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	408	27	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	408	28	considered	consider	VBN
work_oavbptqpunch5jy27k3m3zb5yi	408	29	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	408	30	main	main	JJ
work_oavbptqpunch5jy27k3m3zb5yi	408	31	advantage	advantage	NN
work_oavbptqpunch5jy27k3m3zb5yi	408	32	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	408	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	408	34	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	35	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	408	36	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	408	37	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	408	38	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	409	1	These	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	409	2	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	409	3	proved	prove	VBD
work_oavbptqpunch5jy27k3m3zb5yi	409	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	409	5	competitiveness	competitiveness	NN
work_oavbptqpunch5jy27k3m3zb5yi	409	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	409	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	409	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	409	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	409	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	409	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	409	12	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	409	13	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	409	14	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	409	15	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	409	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	410	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	410	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	410	3	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	410	4	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	410	5	confirmed	confirm	VBD
work_oavbptqpunch5jy27k3m3zb5yi	410	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	410	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	410	8	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	410	9	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	410	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	410	11	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	410	12	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	410	13	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	410	14	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	410	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	410	16	overcoming	overcome	VBG
work_oavbptqpunch5jy27k3m3zb5yi	410	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	410	18	constraint	constraint	NN
work_oavbptqpunch5jy27k3m3zb5yi	410	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	410	20	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	410	21	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	410	22	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	410	23	only	only	RB
work_oavbptqpunch5jy27k3m3zb5yi	410	24	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	410	25	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	410	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	410	27	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	410	28	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	410	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	411	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	411	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	411	3	according	accord	VBG
work_oavbptqpunch5jy27k3m3zb5yi	411	4	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	411	5	what	what	WP
work_oavbptqpunch5jy27k3m3zb5yi	411	6	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	411	7	been	be	VBN
work_oavbptqpunch5jy27k3m3zb5yi	411	8	stated	state	VBN
work_oavbptqpunch5jy27k3m3zb5yi	411	9	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	411	10	Colquhoun	Colquhoun	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	411	12	2014	2014	CD
work_oavbptqpunch5jy27k3m3zb5yi	411	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	411	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	411	15	Ellis	Ellis	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	411	17	2010	2010	CD
work_oavbptqpunch5jy27k3m3zb5yi	411	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	411	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	411	20	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	411	21	6	6	CD
work_oavbptqpunch5jy27k3m3zb5yi	411	22	Comparison	Comparison	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	23	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	411	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	411	25	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	411	26	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	27	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	411	28	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	29	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	411	30	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	411	31	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	411	32	recent	recent	JJ
work_oavbptqpunch5jy27k3m3zb5yi	411	33	related	relate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	411	34	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	411	35	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	411	36	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	411	37	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	38	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	411	39	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	40	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	41	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	411	42	scan	scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	411	43	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	411	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	412	1	Paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	2	Method	Method	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	3	Accuracy	Accuracy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	5	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	7	AUC	AUC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	9	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	11	Sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	12	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	14	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	15	Precision	Precision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	16	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	17	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	19	F1	f1	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	20	score	score	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	21	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	22	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	412	23	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	412	24	Soares	Soares	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	25	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	26	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	412	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	413	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	413	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	413	4	x	x	LS
work_oavbptqpunch5jy27k3m3zb5yi	413	5	-	-	SYM
work_oavbptqpunch5jy27k3m3zb5yi	413	6	DNN	DNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	7	97.38	97.38	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	8	97.36	97.36	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	9	95.53	95.53	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	10	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	11	97.31	97.31	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	12	ResNet	ResNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	13	94.96	94.96	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	14	94.98	94.98	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	15	97.15	97.15	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	16	93	93	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	17	95.03	95.03	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	18	GoogleNet	GoogleNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	19	91.73	91.73	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	20	91.79	91.79	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	21	93.5	93.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	22	90.2	90.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	23	91.82	91.82	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	24	VGG-16	vgg-16	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	25	94.96	94.96	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	26	94.96	94.96	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	27	95.43	95.43	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	28	94.02	94.02	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	29	94.97	94.97	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	30	AlexNet	AlexNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	31	93.75	93.75	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	32	93.68	93.68	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	33	92.28	92.28	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	34	94.48	94.48	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	35	93.61	93.61	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	36	Decision	Decision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	37	Tree	Tree	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	38	79.44	79.44	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	39	79.51	79.51	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	40	83.13	83.13	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	41	76.81	76.81	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	42	79.84	79.84	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	43	Adaboost	Adaboost	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	44	95.16	95.16	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	45	95.19	95.19	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	46	96.71	96.71	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	47	93.63	93.63	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	48	95.14	95.14	CD
work_oavbptqpunch5jy27k3m3zb5yi	413	49	Panwar	Panwar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	50	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	51	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	413	52	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	414	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	414	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	414	4	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	5	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	6	–	–	:
work_oavbptqpunch5jy27k3m3zb5yi	414	7	96	96	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	8	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	9	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	10	Pathak	Pathak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	414	12	Shukla	Shukla	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	13	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	414	14	Arya	Arya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	414	16	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	414	18	LSTM	LSTM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	19	*	*	NFP
work_oavbptqpunch5jy27k3m3zb5yi	414	20	98.37	98.37	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	21	98.2	98.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	22	98.87	98.87	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	23	98.74	98.74	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	24	98.14	98.14	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	25	Proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	414	26	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	27	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	414	28	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	29	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	414	30	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	31	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	32	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	33	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	34	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	414	35	Notes	note	NNS
work_oavbptqpunch5jy27k3m3zb5yi	414	36	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	414	37	*	*	NFP
work_oavbptqpunch5jy27k3m3zb5yi	414	38	LSTM	LSTM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	414	39	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	414	40	Long	long	JJ
work_oavbptqpunch5jy27k3m3zb5yi	414	41	short	short	JJ
work_oavbptqpunch5jy27k3m3zb5yi	414	42	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	414	43	term	term	NN
work_oavbptqpunch5jy27k3m3zb5yi	414	44	memory	memory	NN
work_oavbptqpunch5jy27k3m3zb5yi	414	45	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	415	1	Bold	bold	JJ
work_oavbptqpunch5jy27k3m3zb5yi	415	2	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	415	3	indicate	indicate	VBP
work_oavbptqpunch5jy27k3m3zb5yi	415	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	415	5	highest	high	JJS
work_oavbptqpunch5jy27k3m3zb5yi	415	6	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	415	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	416	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	416	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	416	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	416	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	416	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	416	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	416	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	416	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	416	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	416	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	417	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	417	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	417	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	417	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	10	22/30	22/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	13	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	417	15	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	417	17	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	18	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	19	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	417	20	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	21	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	22	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	417	23	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	417	24	reliable	reliable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	417	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	417	26	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	417	27	must	must	MD
work_oavbptqpunch5jy27k3m3zb5yi	417	28	attain	attain	VB
work_oavbptqpunch5jy27k3m3zb5yi	417	29	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	417	30	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	31	larger	large	JJR
work_oavbptqpunch5jy27k3m3zb5yi	417	32	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	33	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	417	34	equal	equal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	417	35	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	36	80	80	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	37	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	38	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	417	39	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	40	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	417	41	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	42	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	417	43	equal	equal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	417	44	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	45	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	46	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	47	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	417	48	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	49	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	417	50	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	51	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	417	52	equal	equal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	417	53	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	54	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	417	55	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	417	56	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	417	57	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	417	58	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	417	59	greater	great	JJR
work_oavbptqpunch5jy27k3m3zb5yi	417	60	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	417	61	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	417	62	equal	equal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	417	63	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	417	64	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	418	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	418	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	418	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	418	4	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	418	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	418	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	418	7	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	418	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	418	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	418	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	418	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	418	12	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	418	13	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	418	14	Table	Table	NNP
work_oavbptqpunch5jy27k3m3zb5yi	418	15	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	418	16	verified	verify	VBD
work_oavbptqpunch5jy27k3m3zb5yi	418	17	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	418	18	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	418	19	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	418	20	reliable	reliable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	418	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	418	22	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	418	23	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	418	24	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	418	25	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	418	26	diagnose	diagnose	VB
work_oavbptqpunch5jy27k3m3zb5yi	418	27	COVID-19	covid-19	DT
work_oavbptqpunch5jy27k3m3zb5yi	418	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	419	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	419	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	419	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	419	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	419	5	sensitivity	sensitivity	NN
work_oavbptqpunch5jy27k3m3zb5yi	419	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	419	7	specificity	specificity	NN
work_oavbptqpunch5jy27k3m3zb5yi	419	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	419	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	419	10	precision	precision	NN
work_oavbptqpunch5jy27k3m3zb5yi	419	11	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	419	12	99	99	CD
work_oavbptqpunch5jy27k3m3zb5yi	419	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	419	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	419	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	419	16	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	419	17	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	419	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	419	19	DOR	DOR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	419	20	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	419	21	9802	9802	CD
work_oavbptqpunch5jy27k3m3zb5yi	419	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	420	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	420	2	competing	compete	VBG
work_oavbptqpunch5jy27k3m3zb5yi	420	3	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	420	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	420	6	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	420	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	420	8	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	420	9	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	10	revealed	reveal	VBD
work_oavbptqpunch5jy27k3m3zb5yi	420	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	420	12	idea	idea	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	420	14	producing	produce	VBG
work_oavbptqpunch5jy27k3m3zb5yi	420	15	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	420	16	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	420	17	software	software	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	18	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	19	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	420	20	IT	it	PRP
work_oavbptqpunch5jy27k3m3zb5yi	420	21	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	420	22	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	23	technology	technology	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	24	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	420	25	solution	solution	NN
work_oavbptqpunch5jy27k3m3zb5yi	420	26	companies	company	NNS
work_oavbptqpunch5jy27k3m3zb5yi	420	27	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	421	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	421	2	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	421	3	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	421	4	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	421	5	portable	portable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	421	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	421	7	desirable	desirable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	421	8	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	421	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	421	10	end	end	NN
work_oavbptqpunch5jy27k3m3zb5yi	421	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	421	12	user	user	NN
work_oavbptqpunch5jy27k3m3zb5yi	421	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	421	14	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	421	15	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	421	16	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	421	17	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	421	18	specialists	specialist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	421	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	421	20	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	421	21	assist	assist	VB
work_oavbptqpunch5jy27k3m3zb5yi	421	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	421	23	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	421	24	procedure	procedure	NN
work_oavbptqpunch5jy27k3m3zb5yi	421	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	421	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	421	27	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	421	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	422	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	422	2	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	422	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	422	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	422	5	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	422	6	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	422	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	422	8	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	422	9	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	422	10	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	422	11	also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	422	12	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	422	13	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	422	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	422	15	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	422	16	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	422	17	presented	present	VBN
work_oavbptqpunch5jy27k3m3zb5yi	422	18	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	422	19	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	422	20	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	422	21	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	422	22	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	422	23	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	422	24	observed	observe	VBN
work_oavbptqpunch5jy27k3m3zb5yi	422	25	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	422	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	422	27	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	422	28	constructions	construction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	422	29	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	422	30	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	422	31	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	422	32	those	those	DT
work_oavbptqpunch5jy27k3m3zb5yi	422	33	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	422	34	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	422	35	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	422	36	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	422	37	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	422	38	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	422	39	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	422	40	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	423	1	Concerning	concern	VBG
work_oavbptqpunch5jy27k3m3zb5yi	423	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	423	3	ResNet	ResNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	423	4	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	423	5	constructions	construction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	423	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	423	7	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	423	8	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	423	9	clear	clear	JJ
work_oavbptqpunch5jy27k3m3zb5yi	423	10	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	423	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	423	12	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	423	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	423	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	423	15	related	related	JJ
work_oavbptqpunch5jy27k3m3zb5yi	423	16	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	423	17	employed	employ	VBD
work_oavbptqpunch5jy27k3m3zb5yi	423	18	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	423	19	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	423	20	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	423	21	layer	layer	NN
work_oavbptqpunch5jy27k3m3zb5yi	423	22	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	423	23	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	423	24	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	423	25	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	423	26	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	423	27	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	423	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	424	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	424	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	424	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	424	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	424	5	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	424	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	424	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	424	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	425	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	425	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	425	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	425	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	425	5	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	425	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	425	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	425	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	426	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	426	2	2020a	2020a	CD
work_oavbptqpunch5jy27k3m3zb5yi	426	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	426	4	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	426	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	426	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	426	7	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	426	8	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	426	9	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	426	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	427	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	427	2	2020b	2020b	LS
work_oavbptqpunch5jy27k3m3zb5yi	427	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	427	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	427	5	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	427	6	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	427	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	427	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	428	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	428	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	428	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	428	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	429	1	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	429	2	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	429	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	429	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	430	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	430	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	430	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	430	4	utilized	utilize	VBD
work_oavbptqpunch5jy27k3m3zb5yi	430	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	430	6	ResNet-18	ResNet-18	NNS
work_oavbptqpunch5jy27k3m3zb5yi	430	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	430	8	ResNet-23	ResNet-23	NNS
work_oavbptqpunch5jy27k3m3zb5yi	430	9	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	430	10	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	430	11	identify	identify	VB
work_oavbptqpunch5jy27k3m3zb5yi	430	12	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	430	13	samples	sample	NNS
work_oavbptqpunch5jy27k3m3zb5yi	430	14	attaining	attain	VBG
work_oavbptqpunch5jy27k3m3zb5yi	430	15	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	430	16	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	430	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	430	18	86.7	86.7	CD
work_oavbptqpunch5jy27k3m3zb5yi	430	19	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	430	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	430	21	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	430	22	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	430	23	beneath	beneath	IN
work_oavbptqpunch5jy27k3m3zb5yi	430	24	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	430	25	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	430	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	430	27	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	430	28	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	430	29	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	430	30	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	430	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	431	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	431	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	431	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	431	4	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	431	5	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	431	6	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	431	7	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	431	8	individually	individually	RB
work_oavbptqpunch5jy27k3m3zb5yi	431	9	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	431	10	perform	perform	VB
work_oavbptqpunch5jy27k3m3zb5yi	431	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	431	12	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	431	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	432	1	Alternatively	alternatively	RB
work_oavbptqpunch5jy27k3m3zb5yi	432	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	432	3	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	432	4	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	432	5	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	432	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	433	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	433	2	2020a	2020a	LS
work_oavbptqpunch5jy27k3m3zb5yi	433	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	433	4	did	do	VBD
work_oavbptqpunch5jy27k3m3zb5yi	433	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	433	6	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	7	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	8	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	433	9	ResNet-152	ResNet-152	NNP
work_oavbptqpunch5jy27k3m3zb5yi	433	10	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	433	11	achieving	achieve	VBG
work_oavbptqpunch5jy27k3m3zb5yi	433	12	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	433	13	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	433	15	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	433	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	433	18	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	433	19	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	433	20	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	433	21	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	433	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	433	23	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	433	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	433	26	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	433	27	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	433	28	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	433	29	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	30	built	build	VBN
work_oavbptqpunch5jy27k3m3zb5yi	433	31	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	433	32	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	433	33	fewer	few	JJR
work_oavbptqpunch5jy27k3m3zb5yi	433	34	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	433	35	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	433	36	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	433	37	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	434	1	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	434	2	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	434	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	434	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	435	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	435	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	435	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	435	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	435	5	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	435	6	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	435	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	435	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	436	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	436	2	2020b	2020b	LS
work_oavbptqpunch5jy27k3m3zb5yi	436	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	436	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	436	5	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	436	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	436	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	436	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	437	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	437	2	2020b	2020b	NNS
work_oavbptqpunch5jy27k3m3zb5yi	437	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	437	4	employed	employ	VBD
work_oavbptqpunch5jy27k3m3zb5yi	437	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	437	6	ResNet-50	ResNet-50	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	437	7	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	437	8	reaching	reach	VBG
work_oavbptqpunch5jy27k3m3zb5yi	437	9	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	437	10	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	437	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	437	12	89.5	89.5	CD
work_oavbptqpunch5jy27k3m3zb5yi	437	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	437	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	437	15	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	437	16	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	437	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	437	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	437	19	94.8	94.8	CD
work_oavbptqpunch5jy27k3m3zb5yi	437	20	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	437	21	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	437	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	438	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	438	2	accuracies	accuracy	NNS
work_oavbptqpunch5jy27k3m3zb5yi	438	3	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	438	4	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	438	5	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	438	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	438	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	438	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	439	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	439	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	439	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	439	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	439	5	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	439	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	439	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	439	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	440	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	440	2	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	440	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	440	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	440	5	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	440	6	much	much	RB
work_oavbptqpunch5jy27k3m3zb5yi	440	7	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	440	8	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	440	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	440	10	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	440	11	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	440	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	440	13	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	440	14	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	440	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	441	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	441	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	441	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	441	4	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	441	5	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	441	6	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	441	7	ResNet-50	ResNet-50	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	441	8	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	441	9	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	441	10	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	441	11	small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	441	12	amount	amount	NN
work_oavbptqpunch5jy27k3m3zb5yi	441	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	441	14	input	input	NN
work_oavbptqpunch5jy27k3m3zb5yi	441	15	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	441	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	442	1	However	however	RB
work_oavbptqpunch5jy27k3m3zb5yi	442	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	442	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	442	4	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	442	5	obtained	obtain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	442	6	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	442	7	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	442	8	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	442	9	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	442	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	443	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	443	2	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	443	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	443	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	443	5	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	443	6	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	443	7	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	443	8	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	443	9	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	443	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	444	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	444	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	444	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	444	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	444	5	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	444	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	444	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	444	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	445	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	445	2	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	445	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	445	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	446	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	446	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	446	3	due	due	JJ
work_oavbptqpunch5jy27k3m3zb5yi	446	4	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	446	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	446	6	large	large	JJ
work_oavbptqpunch5jy27k3m3zb5yi	446	7	amount	amount	NN
work_oavbptqpunch5jy27k3m3zb5yi	446	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	446	9	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	446	10	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	446	11	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	446	12	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	446	13	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	446	14	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	446	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	447	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	447	2	2020b	2020b	LS
work_oavbptqpunch5jy27k3m3zb5yi	447	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	447	4	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	447	5	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	447	6	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	447	7	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	447	8	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	447	9	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	447	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	448	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	448	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	448	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	448	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	448	5	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	448	6	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	448	7	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	448	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	449	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	449	2	2020b	2020b	LS
work_oavbptqpunch5jy27k3m3zb5yi	449	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	449	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	449	5	but	but	CC
work_oavbptqpunch5jy27k3m3zb5yi	449	6	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	449	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	449	8	still	still	RB
work_oavbptqpunch5jy27k3m3zb5yi	449	9	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	449	10	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	449	11	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	449	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	449	13	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	449	14	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	449	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	450	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	450	2	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	450	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	450	4	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	450	5	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	450	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	450	7	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	450	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	450	9	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	450	10	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	450	11	combined	combine	VBD
work_oavbptqpunch5jy27k3m3zb5yi	450	12	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	450	13	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	450	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	450	15	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	450	16	CNNs	cnns	JJ
work_oavbptqpunch5jy27k3m3zb5yi	450	17	architectures	architecture	NNS
work_oavbptqpunch5jy27k3m3zb5yi	450	18	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	450	19	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	450	20	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	450	21	textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	450	22	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	450	23	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	450	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	451	1	Instead	instead	RB
work_oavbptqpunch5jy27k3m3zb5yi	451	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	451	3	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	451	4	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	451	5	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	451	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	452	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	452	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	452	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	452	4	employed	employ	VBN
work_oavbptqpunch5jy27k3m3zb5yi	452	5	ResNet-101	ResNet-101	NNP
work_oavbptqpunch5jy27k3m3zb5yi	452	6	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	452	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	452	8	achieved	achieve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	452	9	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	452	10	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	452	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	452	12	99.51	99.51	CD
work_oavbptqpunch5jy27k3m3zb5yi	452	13	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	452	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	453	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	453	2	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	453	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	453	4	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	453	5	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	453	6	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	453	7	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	453	8	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	453	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	453	10	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	453	11	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	453	12	very	very	RB
work_oavbptqpunch5jy27k3m3zb5yi	453	13	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	453	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	453	15	resolution	resolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	453	16	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	453	17	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	453	18	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	453	19	divided	divide	VBD
work_oavbptqpunch5jy27k3m3zb5yi	453	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	453	21	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	453	22	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	453	23	patches	patch	NNS
work_oavbptqpunch5jy27k3m3zb5yi	453	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	454	1	Amyar	Amyar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	454	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	454	3	Modzelewski	Modzelewski	NNP
work_oavbptqpunch5jy27k3m3zb5yi	454	4	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	454	5	Ruan	Ruan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	454	6	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	454	7	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	454	8	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	454	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	454	10	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	454	11	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	454	12	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	454	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	455	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	455	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	455	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	455	4	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	455	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	455	6	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	455	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	455	8	Net	Net	NNP
work_oavbptqpunch5jy27k3m3zb5yi	455	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	455	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	455	11	segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	455	12	and/or	and/or	CC
work_oavbptqpunch5jy27k3m3zb5yi	455	13	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	455	14	procedures	procedure	NNS
work_oavbptqpunch5jy27k3m3zb5yi	455	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	455	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	455	17	accuracies	accuracy	NNS
work_oavbptqpunch5jy27k3m3zb5yi	455	18	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	455	19	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	455	20	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	455	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	455	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	455	23	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	455	24	95.2	95.2	CD
work_oavbptqpunch5jy27k3m3zb5yi	455	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	455	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	455	27	respectively	respectively	RB
work_oavbptqpunch5jy27k3m3zb5yi	455	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	456	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	456	2	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	456	3	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	456	4	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	456	5	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	456	6	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	456	7	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	456	8	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	456	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	457	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	457	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	457	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	457	4	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	457	5	due	due	JJ
work_oavbptqpunch5jy27k3m3zb5yi	457	6	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	457	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	457	8	huge	huge	JJ
work_oavbptqpunch5jy27k3m3zb5yi	457	9	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	457	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	457	11	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	457	12	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	457	13	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	457	14	train	train	VB
work_oavbptqpunch5jy27k3m3zb5yi	457	15	their	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	457	16	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	457	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	457	18	Nets	Nets	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	457	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	457	20	but	but	CC
work_oavbptqpunch5jy27k3m3zb5yi	457	21	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	457	22	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	457	23	still	still	RB
work_oavbptqpunch5jy27k3m3zb5yi	457	24	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	457	25	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	457	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	457	27	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	457	28	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	457	29	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	457	30	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	457	31	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	457	32	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	457	33	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	457	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	458	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	458	2	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	458	3	because	because	IN
work_oavbptqpunch5jy27k3m3zb5yi	458	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	458	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	458	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	458	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	458	8	applied	apply	VBD
work_oavbptqpunch5jy27k3m3zb5yi	458	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	458	10	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	458	11	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	458	12	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	458	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	458	14	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	458	15	enhanced	enhance	VBD
work_oavbptqpunch5jy27k3m3zb5yi	458	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	458	17	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	458	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	459	1	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	459	2	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	459	3	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	459	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	460	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	460	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	460	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	460	4	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	460	5	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	460	6	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	460	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	460	8	Net	Net	NNP
work_oavbptqpunch5jy27k3m3zb5yi	460	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	460	10	segmenting	segment	VBG
work_oavbptqpunch5jy27k3m3zb5yi	460	11	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	460	12	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	460	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	460	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	460	15	then	then	RB
work_oavbptqpunch5jy27k3m3zb5yi	460	16	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	460	17	built	build	VBD
work_oavbptqpunch5jy27k3m3zb5yi	460	18	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	460	19	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	460	20	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	460	21	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	460	22	eight	eight	CD
work_oavbptqpunch5jy27k3m3zb5yi	460	23	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	460	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	461	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	461	2	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	461	3	attained	attain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	461	4	90.9	90.9	CD
work_oavbptqpunch5jy27k3m3zb5yi	461	5	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	461	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	461	7	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	461	8	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	461	9	much	much	RB
work_oavbptqpunch5jy27k3m3zb5yi	461	10	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	461	11	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	461	12	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	461	13	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	461	14	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	461	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	461	16	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	461	17	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	461	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	462	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	462	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	462	3	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	462	4	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	462	5	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	462	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	463	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	463	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	463	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	463	4	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	463	5	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	463	6	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	463	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	463	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	463	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	463	10	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	463	11	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	463	12	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	463	13	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	463	14	DenseNet-169	DenseNet-169	NNP
work_oavbptqpunch5jy27k3m3zb5yi	463	15	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	463	16	attaining	attain	VBG
work_oavbptqpunch5jy27k3m3zb5yi	463	17	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	463	18	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	463	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	463	20	86	86	CD
work_oavbptqpunch5jy27k3m3zb5yi	463	21	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	463	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	464	1	Although	although	IN
work_oavbptqpunch5jy27k3m3zb5yi	464	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	464	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	464	4	DenseNet	DenseNet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	464	5	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	464	6	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	464	7	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	464	8	perform	perform	VB
work_oavbptqpunch5jy27k3m3zb5yi	464	9	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	464	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	464	11	case	case	NN
work_oavbptqpunch5jy27k3m3zb5yi	464	12	trained	train	VBN
work_oavbptqpunch5jy27k3m3zb5yi	464	13	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	464	14	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	464	15	huge	huge	JJ
work_oavbptqpunch5jy27k3m3zb5yi	464	16	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	464	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	464	18	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	464	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	464	20	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	464	21	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	464	22	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	464	23	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	464	24	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	464	25	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	464	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	464	27	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	464	28	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	464	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	465	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	465	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	465	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	465	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	465	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	465	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	465	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	465	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	465	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	465	10	23/30	23/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	465	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_oavbptqpunch5jy27k3m3zb5yi	465	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	465	13	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	465	14	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	465	15	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	465	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	465	17	case	case	NN
work_oavbptqpunch5jy27k3m3zb5yi	465	18	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	465	19	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	465	20	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	465	21	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	465	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	466	1	method	method	NNP
work_oavbptqpunch5jy27k3m3zb5yi	466	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	467	1	On	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	467	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	467	3	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	467	4	hand	hand	NN
work_oavbptqpunch5jy27k3m3zb5yi	467	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	467	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	467	7	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	467	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	467	9	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	467	10	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	467	11	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	467	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	468	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	468	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	468	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	468	4	utilized	utilize	VBN
work_oavbptqpunch5jy27k3m3zb5yi	468	5	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	468	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	468	7	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	468	8	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	468	9	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	468	10	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	468	11	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	468	12	architecture	architecture	NN
work_oavbptqpunch5jy27k3m3zb5yi	468	13	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	468	14	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	468	15	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	468	16	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	468	17	extracted	extract	VBN
work_oavbptqpunch5jy27k3m3zb5yi	468	18	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	468	19	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	468	20	attained	attain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	468	21	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	468	22	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	468	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	468	24	99.68	99.68	CD
work_oavbptqpunch5jy27k3m3zb5yi	468	25	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	468	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	468	27	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	468	28	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	468	29	slightly	slightly	RB
work_oavbptqpunch5jy27k3m3zb5yi	468	30	higher	high	JJR
work_oavbptqpunch5jy27k3m3zb5yi	468	31	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	468	32	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	468	33	that	that	DT
work_oavbptqpunch5jy27k3m3zb5yi	468	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	468	35	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	468	36	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	468	37	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	468	38	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	468	39	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	468	40	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	469	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	469	2	reason	reason	NN
work_oavbptqpunch5jy27k3m3zb5yi	469	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	469	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	469	5	slightly	slightly	RB
work_oavbptqpunch5jy27k3m3zb5yi	469	6	outperformance	outperformance	NN
work_oavbptqpunch5jy27k3m3zb5yi	469	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	469	8	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	469	9	et	et	NNP
work_oavbptqpunch5jy27k3m3zb5yi	469	10	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	469	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	470	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	470	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	470	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	470	4	method	method	NN
work_oavbptqpunch5jy27k3m3zb5yi	470	5	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	470	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	470	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	470	8	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	470	9	constructed	construct	VBD
work_oavbptqpunch5jy27k3m3zb5yi	470	10	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	470	11	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	470	12	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	470	13	few	few	JJ
work_oavbptqpunch5jy27k3m3zb5yi	470	14	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	470	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	470	16	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	470	17	layers	layer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	470	18	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	470	19	decrease	decrease	VB
work_oavbptqpunch5jy27k3m3zb5yi	470	20	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	470	21	over	over	RB
work_oavbptqpunch5jy27k3m3zb5yi	470	22	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	470	23	fitting	fitting	JJ
work_oavbptqpunch5jy27k3m3zb5yi	470	24	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	470	25	reducing	reduce	VBG
work_oavbptqpunch5jy27k3m3zb5yi	470	26	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	470	27	CNN	CNN	NNP
work_oavbptqpunch5jy27k3m3zb5yi	470	28	construction	construction	NN
work_oavbptqpunch5jy27k3m3zb5yi	470	29	complexity	complexity	NN
work_oavbptqpunch5jy27k3m3zb5yi	470	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	471	1	Conversely	conversely	RB
work_oavbptqpunch5jy27k3m3zb5yi	471	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	471	3	Fang	Fang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	471	4	et	et	FW
work_oavbptqpunch5jy27k3m3zb5yi	471	5	al	al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	471	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	472	1	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	472	2	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	472	3	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	472	4	used	use	VBD
work_oavbptqpunch5jy27k3m3zb5yi	472	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	472	6	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	472	7	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	472	8	only	only	RB
work_oavbptqpunch5jy27k3m3zb5yi	472	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	472	10	discarded	discard	VBD
work_oavbptqpunch5jy27k3m3zb5yi	472	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	472	12	advantages	advantage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	472	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	472	14	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	472	15	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	472	16	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	472	17	therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	472	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	472	19	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	472	20	attained	attain	VBD
work_oavbptqpunch5jy27k3m3zb5yi	472	21	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	472	22	low	low	JJ
work_oavbptqpunch5jy27k3m3zb5yi	472	23	AUC	auc	NN
work_oavbptqpunch5jy27k3m3zb5yi	472	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	472	25	0.826	0.826	CD
work_oavbptqpunch5jy27k3m3zb5yi	472	26	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	472	27	82.6	82.6	CD
work_oavbptqpunch5jy27k3m3zb5yi	472	28	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	472	29	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	472	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	473	1	To	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	473	2	test	test	VB
work_oavbptqpunch5jy27k3m3zb5yi	473	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	473	4	validate	validate	VB
work_oavbptqpunch5jy27k3m3zb5yi	473	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	473	6	statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	473	7	significance	significance	NN
work_oavbptqpunch5jy27k3m3zb5yi	473	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	473	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	473	10	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	473	11	obtained	obtain	VBN
work_oavbptqpunch5jy27k3m3zb5yi	473	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	473	13	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	473	14	one	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	473	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	473	16	way	way	NN
work_oavbptqpunch5jy27k3m3zb5yi	473	17	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	473	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	473	19	variance	variance	NN
work_oavbptqpunch5jy27k3m3zb5yi	473	20	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	473	21	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	473	22	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	473	23	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	473	24	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	473	25	performed	perform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	473	26	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	473	27	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	473	28	repeated	repeat	VBN
work_oavbptqpunch5jy27k3m3zb5yi	473	29	fivefold	fivefold	JJ
work_oavbptqpunch5jy27k3m3zb5yi	473	30	cross	cross	JJ
work_oavbptqpunch5jy27k3m3zb5yi	473	31	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	473	32	validation	validation	JJ
work_oavbptqpunch5jy27k3m3zb5yi	473	33	procedure	procedure	NN
work_oavbptqpunch5jy27k3m3zb5yi	473	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	474	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	474	2	null	null	NN
work_oavbptqpunch5jy27k3m3zb5yi	474	3	hypothesis	hypothesis	NN
work_oavbptqpunch5jy27k3m3zb5yi	474	4	Ho	Ho	NNP
work_oavbptqpunch5jy27k3m3zb5yi	474	5	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	474	6	all	all	DT
work_oavbptqpunch5jy27k3m3zb5yi	474	7	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	474	8	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	474	9	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	474	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	474	11	mean	mean	JJ
work_oavbptqpunch5jy27k3m3zb5yi	474	12	accuracies	accuracy	NNS
work_oavbptqpunch5jy27k3m3zb5yi	474	13	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	474	14	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	474	15	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	474	16	experiment	experiment	NN
work_oavbptqpunch5jy27k3m3zb5yi	474	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	475	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	475	2	7	7	CD
work_oavbptqpunch5jy27k3m3zb5yi	475	3	shows	show	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	475	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	475	5	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	475	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	475	7	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	475	8	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	475	9	made	make	VBN
work_oavbptqpunch5jy27k3m3zb5yi	475	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	475	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	475	12	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	475	13	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	475	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	475	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	475	16	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	475	17	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	475	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	475	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	476	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	476	2	8	8	CD
work_oavbptqpunch5jy27k3m3zb5yi	476	3	shows	show	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	476	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	476	5	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	476	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	476	7	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	476	8	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	476	9	made	make	VBN
work_oavbptqpunch5jy27k3m3zb5yi	476	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	476	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	476	12	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	476	13	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	476	14	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	476	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	476	16	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	476	17	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	476	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	476	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	477	1	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	477	2	9	9	CD
work_oavbptqpunch5jy27k3m3zb5yi	477	3	presents	present	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	477	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	477	5	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	477	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	477	7	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	477	8	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	477	9	executed	execute	VBN
work_oavbptqpunch5jy27k3m3zb5yi	477	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	477	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	477	12	fused	fuse	VBN
work_oavbptqpunch5jy27k3m3zb5yi	477	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	477	14	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	477	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	477	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	477	17	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	477	18	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	477	19	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	477	20	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	477	21	handcrafted	handcraft	VBD
work_oavbptqpunch5jy27k3m3zb5yi	477	22	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	477	23	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	477	24	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	477	25	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	477	26	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	477	27	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	477	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	478	1	It	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	478	2	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	478	3	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	478	4	observed	observe	VBN
work_oavbptqpunch5jy27k3m3zb5yi	478	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	478	6	Tables	Tables	NNP
work_oavbptqpunch5jy27k3m3zb5yi	478	7	7–9	7–9	NFP
work_oavbptqpunch5jy27k3m3zb5yi	478	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	478	9	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	478	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	478	11	p	p	NN
work_oavbptqpunch5jy27k3m3zb5yi	478	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	478	13	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	478	14	achieved	achieve	VBN
work_oavbptqpunch5jy27k3m3zb5yi	478	15	were	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	478	16	lower	low	JJR
work_oavbptqpunch5jy27k3m3zb5yi	478	17	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	478	18	0.05	0.05	CD
work_oavbptqpunch5jy27k3m3zb5yi	478	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	479	1	Therefore	therefore	RB
work_oavbptqpunch5jy27k3m3zb5yi	479	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	479	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	479	4	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	479	5	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	479	6	concluded	conclude	VBN
work_oavbptqpunch5jy27k3m3zb5yi	479	7	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	479	8	there	there	EX
work_oavbptqpunch5jy27k3m3zb5yi	479	9	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	479	10	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	479	11	statistically	statistically	RB
work_oavbptqpunch5jy27k3m3zb5yi	479	12	significant	significant	JJ
work_oavbptqpunch5jy27k3m3zb5yi	479	13	difference	difference	NN
work_oavbptqpunch5jy27k3m3zb5yi	479	14	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	479	15	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	479	16	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	479	17	calculated	calculate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	479	18	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	479	19	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	479	20	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	479	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	480	1	Also	also	RB
work_oavbptqpunch5jy27k3m3zb5yi	480	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	480	3	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	480	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	480	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	480	6	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	480	7	verify	verify	VB
work_oavbptqpunch5jy27k3m3zb5yi	480	8	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	480	9	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	480	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	480	11	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	480	12	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	480	13	reliable	reliable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	480	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	481	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	481	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	481	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	481	4	95	95	CD
work_oavbptqpunch5jy27k3m3zb5yi	481	5	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	481	6	confidence	confidence	NN
work_oavbptqpunch5jy27k3m3zb5yi	481	7	interval	interval	NN
work_oavbptqpunch5jy27k3m3zb5yi	481	8	calculated	calculate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	481	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	481	10	each	each	DT
work_oavbptqpunch5jy27k3m3zb5yi	481	11	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	481	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	481	13	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	481	14	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	481	15	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	481	16	proves	prove	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	481	17	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	481	18	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	481	19	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	481	20	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	481	21	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	481	22	reliable	reliable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	481	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	482	1	Although	although	IN
work_oavbptqpunch5jy27k3m3zb5yi	482	2	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	482	3	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	482	4	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	482	5	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	482	6	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	482	7	outstanding	outstanding	JJ
work_oavbptqpunch5jy27k3m3zb5yi	482	8	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	482	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	482	10	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	482	11	still	still	RB
work_oavbptqpunch5jy27k3m3zb5yi	482	12	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	482	13	some	some	DT
work_oavbptqpunch5jy27k3m3zb5yi	482	14	limitations	limitation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	482	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	483	1	Meanwhile	meanwhile	RB
work_oavbptqpunch5jy27k3m3zb5yi	483	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	483	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	483	4	proposed	propose	VBN
work_oavbptqpunch5jy27k3m3zb5yi	483	5	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	483	6	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	483	7	only	only	RB
work_oavbptqpunch5jy27k3m3zb5yi	483	8	differentiate	differentiate	VB
work_oavbptqpunch5jy27k3m3zb5yi	483	9	between	between	IN
work_oavbptqpunch5jy27k3m3zb5yi	483	10	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	483	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	483	12	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	483	13	7	7	CD
work_oavbptqpunch5jy27k3m3zb5yi	483	14	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	483	15	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	483	16	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	483	17	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	483	18	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	483	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	483	20	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	483	21	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	483	22	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	483	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	484	1	Source	source	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	484	3	variation	variation	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	4	SS	SS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	5	df	df	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	6	MS	MS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	7	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	8	p	p	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	9	-	-	:
work_oavbptqpunch5jy27k3m3zb5yi	484	10	Value	Value	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	11	Columns	Columns	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	484	12	0.00209	0.00209	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	13	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	14	0.00042	0.00042	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	15	9384	9384	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	16	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	484	17	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	18	Error	error	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	19	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	20	54	54	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	21	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	22	Total	total	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	23	0.00209	0.00209	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	24	59	59	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	25	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	26	8	8	CD
work_oavbptqpunch5jy27k3m3zb5yi	484	27	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	484	28	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	484	29	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	30	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	484	31	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	484	32	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	484	33	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	484	34	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	35	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	484	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	485	1	Source	source	NN
work_oavbptqpunch5jy27k3m3zb5yi	485	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	485	3	variation	variation	NN
work_oavbptqpunch5jy27k3m3zb5yi	485	4	SS	SS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	5	df	df	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	6	MS	MS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	7	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	8	p	p	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	9	-	-	:
work_oavbptqpunch5jy27k3m3zb5yi	485	10	Value	Value	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	11	Columns	Columns	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	485	12	0.00234	0.00234	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	13	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	14	0.00047	0.00047	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	15	20.56	20.56	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	16	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	485	17	0.005	0.005	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	18	Error	error	NN
work_oavbptqpunch5jy27k3m3zb5yi	485	19	0.00137	0.00137	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	20	60	60	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	21	0.00002	0.00002	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	22	Total	total	JJ
work_oavbptqpunch5jy27k3m3zb5yi	485	23	0.00371	0.00371	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	24	65	65	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	25	Table	table	NN
work_oavbptqpunch5jy27k3m3zb5yi	485	26	9	9	CD
work_oavbptqpunch5jy27k3m3zb5yi	485	27	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	485	28	ANOVA	ANOVA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	29	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	485	30	details	detail	NNS
work_oavbptqpunch5jy27k3m3zb5yi	485	31	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	485	32	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	33	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	485	34	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	485	35	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	485	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	486	1	Source	source	NN
work_oavbptqpunch5jy27k3m3zb5yi	486	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	486	3	variation	variation	NN
work_oavbptqpunch5jy27k3m3zb5yi	486	4	SS	SS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	5	df	df	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	6	MS	MS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	7	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	8	p	p	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	9	-	-	:
work_oavbptqpunch5jy27k3m3zb5yi	486	10	Value	Value	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	11	Columns	Columns	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	486	12	0.00087	0.00087	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	13	5	5	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	14	0.00017	0.00017	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	15	728.44	728.44	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	16	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	486	17	0.005	0.005	XX
work_oavbptqpunch5jy27k3m3zb5yi	486	18	Error	error	NN
work_oavbptqpunch5jy27k3m3zb5yi	486	19	0.00001	0.00001	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	20	54	54	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	21	0	0	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	22	Total	total	NN
work_oavbptqpunch5jy27k3m3zb5yi	486	23	0.00088	0.00088	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	24	59	59	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	25	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	26	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	486	27	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	28	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	486	29	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	486	30	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	486	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	486	32	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	33	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	486	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	487	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	487	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	487	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	487	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	487	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	487	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	487	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	487	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	487	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	487	10	24/30	24/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	487	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	487	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	487	13	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	487	14	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	487	15	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	487	16	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	487	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	487	18	but	but	CC
work_oavbptqpunch5jy27k3m3zb5yi	487	19	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	487	20	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	487	21	crucial	crucial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	487	22	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	487	23	discriminate	discriminate	VB
work_oavbptqpunch5jy27k3m3zb5yi	487	24	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	487	25	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	487	26	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	487	27	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	487	28	categories	category	NNS
work_oavbptqpunch5jy27k3m3zb5yi	487	29	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	487	30	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	487	31	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	487	32	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	487	33	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	488	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	488	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	488	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	488	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	488	5	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	488	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	488	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	488	8	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	488	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	488	10	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	488	11	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	488	12	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	488	13	not	not	RB
work_oavbptqpunch5jy27k3m3zb5yi	488	14	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	488	15	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	488	16	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	488	17	manual	manual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	488	18	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	488	19	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	488	20	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	488	21	radiologist	radiologist	NN
work_oavbptqpunch5jy27k3m3zb5yi	488	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	489	1	Future	future	JJ
work_oavbptqpunch5jy27k3m3zb5yi	489	2	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	489	3	will	will	MD
work_oavbptqpunch5jy27k3m3zb5yi	489	4	focus	focus	VB
work_oavbptqpunch5jy27k3m3zb5yi	489	5	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	489	6	extending	extend	VBG
work_oavbptqpunch5jy27k3m3zb5yi	489	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	489	8	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	489	9	so	so	IN
work_oavbptqpunch5jy27k3m3zb5yi	489	10	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	489	11	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	489	12	would	would	MD
work_oavbptqpunch5jy27k3m3zb5yi	489	13	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	489	14	able	able	JJ
work_oavbptqpunch5jy27k3m3zb5yi	489	15	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	489	16	identify	identify	VB
work_oavbptqpunch5jy27k3m3zb5yi	489	17	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	489	18	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	489	20	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	489	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	489	22	employing	employ	VBG
work_oavbptqpunch5jy27k3m3zb5yi	489	23	imaging	imaging	NN
work_oavbptqpunch5jy27k3m3zb5yi	489	24	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	25	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	489	26	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	489	27	X	X	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	28	-	-	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	29	rays	ray	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	30	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	489	31	constructing	construct	VBG
work_oavbptqpunch5jy27k3m3zb5yi	489	32	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	489	33	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	489	35	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	489	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	490	1	CONCLUSIONS	conclusions	JJ
work_oavbptqpunch5jy27k3m3zb5yi	490	2	Numerous	numerous	JJ
work_oavbptqpunch5jy27k3m3zb5yi	490	3	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	490	4	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	490	5	proved	prove	VBN
work_oavbptqpunch5jy27k3m3zb5yi	490	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	490	7	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	490	8	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	490	9	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	490	10	capable	capable	JJ
work_oavbptqpunch5jy27k3m3zb5yi	490	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	490	12	assisting	assist	VBG
work_oavbptqpunch5jy27k3m3zb5yi	490	13	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	490	14	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	490	15	accurately	accurately	RB
work_oavbptqpunch5jy27k3m3zb5yi	490	16	identifying	identify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	490	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	490	18	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	490	19	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	490	20	as	as	RB
work_oavbptqpunch5jy27k3m3zb5yi	490	21	well	well	RB
work_oavbptqpunch5jy27k3m3zb5yi	490	22	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	490	23	speeding	speed	VBG
work_oavbptqpunch5jy27k3m3zb5yi	490	24	up	up	RP
work_oavbptqpunch5jy27k3m3zb5yi	490	25	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	490	26	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	490	27	process	process	NN
work_oavbptqpunch5jy27k3m3zb5yi	490	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	491	1	This	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	491	2	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	3	proposed	propose	VBD
work_oavbptqpunch5jy27k3m3zb5yi	491	4	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	491	5	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	491	7	fast	fast	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	8	diagnostic	diagnostic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	9	tool	tool	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	10	called	call	VBD
work_oavbptqpunch5jy27k3m3zb5yi	491	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	491	12	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	491	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	491	14	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	491	15	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	16	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	491	17	distinguishing	distinguish	VBG
work_oavbptqpunch5jy27k3m3zb5yi	491	18	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	19	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	491	20	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	21	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	22	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	23	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	491	24	as	as	IN
work_oavbptqpunch5jy27k3m3zb5yi	491	25	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	491	26	alternative	alternative	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	27	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	491	28	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	491	29	laboratory	laboratory	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	30	test	test	NN
work_oavbptqpunch5jy27k3m3zb5yi	491	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	491	32	which	which	WDT
work_oavbptqpunch5jy27k3m3zb5yi	491	33	has	have	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	491	34	several	several	JJ
work_oavbptqpunch5jy27k3m3zb5yi	491	35	drawbacks	drawback	NNS
work_oavbptqpunch5jy27k3m3zb5yi	491	36	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	492	1	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	492	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	492	3	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	492	4	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	492	5	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	492	6	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	492	7	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	492	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	492	9	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	492	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	492	11	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	492	12	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	492	13	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	492	14	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	492	15	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	492	16	types	type	NNS
work_oavbptqpunch5jy27k3m3zb5yi	492	17	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	492	18	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	492	19	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	492	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	493	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	493	2	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	493	3	showed	show	VBD
work_oavbptqpunch5jy27k3m3zb5yi	493	4	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	493	5	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	493	6	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	493	7	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	493	8	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	493	9	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	493	10	increased	increase	VBN
work_oavbptqpunch5jy27k3m3zb5yi	493	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	493	12	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	493	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	493	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	493	15	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	493	16	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	493	17	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	493	18	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	493	19	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	493	20	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	493	21	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	493	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	493	23	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	493	24	constructed	construct	VBN
work_oavbptqpunch5jy27k3m3zb5yi	493	25	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	493	26	individual	individual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	493	27	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	493	28	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	493	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	494	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	494	2	addition	addition	NN
work_oavbptqpunch5jy27k3m3zb5yi	494	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	494	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	494	5	outcomes	outcome	NNS
work_oavbptqpunch5jy27k3m3zb5yi	494	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	494	7	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	494	8	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	494	9	proved	prove	VBD
work_oavbptqpunch5jy27k3m3zb5yi	494	10	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	494	11	combining	combine	VBG
work_oavbptqpunch5jy27k3m3zb5yi	494	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	494	13	three	three	CD
work_oavbptqpunch5jy27k3m3zb5yi	494	14	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	494	15	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	494	16	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	494	17	increased	increase	VBN
work_oavbptqpunch5jy27k3m3zb5yi	494	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	494	19	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	494	20	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	494	21	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	494	22	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	494	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	494	24	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	494	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	495	1	Additionally	additionally	RB
work_oavbptqpunch5jy27k3m3zb5yi	495	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	495	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	495	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	495	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	495	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	495	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	495	8	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	495	9	proved	prove	VBN
work_oavbptqpunch5jy27k3m3zb5yi	495	10	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	495	11	fusing	fuse	VBG
work_oavbptqpunch5jy27k3m3zb5yi	495	12	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	495	13	DL	DL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	495	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	495	15	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	495	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	495	17	had	have	VBD
work_oavbptqpunch5jy27k3m3zb5yi	495	18	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	495	19	positive	positive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	495	20	impact	impact	NN
work_oavbptqpunch5jy27k3m3zb5yi	495	21	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	495	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	495	23	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	495	24	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	495	25	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	495	26	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	496	1	Furthermore	furthermore	RB
work_oavbptqpunch5jy27k3m3zb5yi	496	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	496	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	496	4	revealed	reveal	VBD
work_oavbptqpunch5jy27k3m3zb5yi	496	5	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	496	6	competitive	competitive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	496	7	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	496	8	compared	compare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	496	9	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	496	10	similar	similar	JJ
work_oavbptqpunch5jy27k3m3zb5yi	496	11	studies	study	NNS
work_oavbptqpunch5jy27k3m3zb5yi	496	12	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	496	13	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	496	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	496	15	same	same	JJ
work_oavbptqpunch5jy27k3m3zb5yi	496	16	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	496	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	497	1	Consequently	consequently	RB
work_oavbptqpunch5jy27k3m3zb5yi	497	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	497	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	497	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	497	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	497	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	497	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	497	8	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	497	9	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	497	10	successfully	successfully	RB
work_oavbptqpunch5jy27k3m3zb5yi	497	11	used	use	VBN
work_oavbptqpunch5jy27k3m3zb5yi	497	12	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	497	13	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	497	14	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	497	15	expedite	expedite	VB
work_oavbptqpunch5jy27k3m3zb5yi	497	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	497	17	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	497	18	procedure	procedure	NN
work_oavbptqpunch5jy27k3m3zb5yi	497	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	497	20	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	497	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	498	1	Additionally	additionally	RB
work_oavbptqpunch5jy27k3m3zb5yi	498	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	498	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	498	4	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	498	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	498	6	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	498	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	8	could	could	MD
work_oavbptqpunch5jy27k3m3zb5yi	498	9	help	help	VB
work_oavbptqpunch5jy27k3m3zb5yi	498	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	498	11	controlling	control	VBG
work_oavbptqpunch5jy27k3m3zb5yi	498	12	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	498	13	present	present	JJ
work_oavbptqpunch5jy27k3m3zb5yi	498	14	epidemic	epidemic	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	498	16	accelerate	accelerate	VB
work_oavbptqpunch5jy27k3m3zb5yi	498	17	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	498	18	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	19	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	498	20	such	such	JJ
work_oavbptqpunch5jy27k3m3zb5yi	498	21	virus	virus	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	498	23	deaccelerate	deaccelerate	VB
work_oavbptqpunch5jy27k3m3zb5yi	498	24	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	498	25	spread	spread	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	498	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	498	28	enable	enable	VB
work_oavbptqpunch5jy27k3m3zb5yi	498	29	clinicians	clinician	NNS
work_oavbptqpunch5jy27k3m3zb5yi	498	30	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	498	31	enhance	enhance	VB
work_oavbptqpunch5jy27k3m3zb5yi	498	32	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	498	33	quality	quality	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	34	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	498	35	patient	patient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	498	36	management	management	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	37	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	498	38	even	even	RB
work_oavbptqpunch5jy27k3m3zb5yi	498	39	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	498	40	unusual	unusual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	498	41	workload	workload	NN
work_oavbptqpunch5jy27k3m3zb5yi	498	42	circumstances	circumstance	NNS
work_oavbptqpunch5jy27k3m3zb5yi	498	43	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	499	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	499	2	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	499	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	499	4	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	499	5	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	499	6	must	must	MD
work_oavbptqpunch5jy27k3m3zb5yi	499	7	experience	experience	VB
work_oavbptqpunch5jy27k3m3zb5yi	499	8	additional	additional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	499	9	field	field	NN
work_oavbptqpunch5jy27k3m3zb5yi	499	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	499	11	testing	testing	NN
work_oavbptqpunch5jy27k3m3zb5yi	499	12	afore	afore	NN
work_oavbptqpunch5jy27k3m3zb5yi	499	13	radiologists	radiologist	NNS
work_oavbptqpunch5jy27k3m3zb5yi	499	14	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	499	15	engage	engage	VB
work_oavbptqpunch5jy27k3m3zb5yi	499	16	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	499	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	500	1	Moreover	moreover	RB
work_oavbptqpunch5jy27k3m3zb5yi	500	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	500	3	it	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	500	4	will	will	MD
work_oavbptqpunch5jy27k3m3zb5yi	500	5	probably	probably	RB
work_oavbptqpunch5jy27k3m3zb5yi	500	6	have	have	VB
work_oavbptqpunch5jy27k3m3zb5yi	500	7	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	500	8	endure	endure	VB
work_oavbptqpunch5jy27k3m3zb5yi	500	9	regulatory	regulatory	JJ
work_oavbptqpunch5jy27k3m3zb5yi	500	10	approval	approval	NN
work_oavbptqpunch5jy27k3m3zb5yi	500	11	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	500	12	health	health	NN
work_oavbptqpunch5jy27k3m3zb5yi	500	13	authorities	authority	NNS
work_oavbptqpunch5jy27k3m3zb5yi	500	14	before	before	IN
work_oavbptqpunch5jy27k3m3zb5yi	500	15	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	500	16	implementation	implementation	NN
work_oavbptqpunch5jy27k3m3zb5yi	500	17	into	into	IN
work_oavbptqpunch5jy27k3m3zb5yi	500	18	hospitals	hospital	NNS
work_oavbptqpunch5jy27k3m3zb5yi	500	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	501	1	ADDITIONAL	additional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	501	2	INFORMATION	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	501	3	AND	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	501	4	DECLARATIONS	declaration	NNS
work_oavbptqpunch5jy27k3m3zb5yi	501	5	Funding	fund	VBG
work_oavbptqpunch5jy27k3m3zb5yi	501	6	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	501	7	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	501	8	received	receive	VBD
work_oavbptqpunch5jy27k3m3zb5yi	501	9	no	no	DT
work_oavbptqpunch5jy27k3m3zb5yi	501	10	funding	funding	NN
work_oavbptqpunch5jy27k3m3zb5yi	501	11	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	501	12	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	501	13	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	501	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	502	1	Competing	compete	VBG
work_oavbptqpunch5jy27k3m3zb5yi	502	2	Interests	interest	NNS
work_oavbptqpunch5jy27k3m3zb5yi	502	3	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	502	4	authors	author	NNS
work_oavbptqpunch5jy27k3m3zb5yi	502	5	declare	declare	VBP
work_oavbptqpunch5jy27k3m3zb5yi	502	6	that	that	IN
work_oavbptqpunch5jy27k3m3zb5yi	502	7	they	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	502	8	have	have	VBP
work_oavbptqpunch5jy27k3m3zb5yi	502	9	no	no	DT
work_oavbptqpunch5jy27k3m3zb5yi	502	10	competing	compete	VBG
work_oavbptqpunch5jy27k3m3zb5yi	502	11	interests	interest	NNS
work_oavbptqpunch5jy27k3m3zb5yi	502	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	503	1	Author	author	NN
work_oavbptqpunch5jy27k3m3zb5yi	503	2	Contributions	Contributions	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	503	3	�	�	NNP
work_oavbptqpunch5jy27k3m3zb5yi	503	4	Dina	Dina	NNP
work_oavbptqpunch5jy27k3m3zb5yi	503	5	A.	a.	NN
work_oavbptqpunch5jy27k3m3zb5yi	503	6	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	503	7	conceived	conceive	VBD
work_oavbptqpunch5jy27k3m3zb5yi	503	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	503	9	designed	design	VBD
work_oavbptqpunch5jy27k3m3zb5yi	503	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	503	11	experiments	experiment	NNS
work_oavbptqpunch5jy27k3m3zb5yi	503	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	503	13	performed	perform	VBD
work_oavbptqpunch5jy27k3m3zb5yi	503	14	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	503	15	experiments	experiment	NNS
work_oavbptqpunch5jy27k3m3zb5yi	503	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	503	17	analyzed	analyze	VBD
work_oavbptqpunch5jy27k3m3zb5yi	503	18	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	503	19	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	503	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	503	21	performed	perform	VBD
work_oavbptqpunch5jy27k3m3zb5yi	503	22	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	503	23	computation	computation	NN
work_oavbptqpunch5jy27k3m3zb5yi	503	24	work	work	NN
work_oavbptqpunch5jy27k3m3zb5yi	503	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	503	26	prepared	prepare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	503	27	figures	figure	NNS
work_oavbptqpunch5jy27k3m3zb5yi	503	28	and/or	and/or	CC
work_oavbptqpunch5jy27k3m3zb5yi	503	29	tables	table	NNS
work_oavbptqpunch5jy27k3m3zb5yi	503	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	503	31	authored	author	VBN
work_oavbptqpunch5jy27k3m3zb5yi	503	32	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	503	33	reviewed	review	VBN
work_oavbptqpunch5jy27k3m3zb5yi	503	34	drafts	draft	NNS
work_oavbptqpunch5jy27k3m3zb5yi	503	35	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	503	36	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	503	37	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	503	38	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	503	39	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	503	40	approved	approve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	503	41	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	503	42	final	final	JJ
work_oavbptqpunch5jy27k3m3zb5yi	503	43	draft	draft	NN
work_oavbptqpunch5jy27k3m3zb5yi	503	44	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	504	1	�	�	:
work_oavbptqpunch5jy27k3m3zb5yi	504	2	Omneya	Omneya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	504	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	504	4	conceived	conceive	VBD
work_oavbptqpunch5jy27k3m3zb5yi	504	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	504	6	designed	design	VBD
work_oavbptqpunch5jy27k3m3zb5yi	504	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	504	8	experiments	experiment	NNS
work_oavbptqpunch5jy27k3m3zb5yi	504	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	504	10	analyzed	analyze	VBD
work_oavbptqpunch5jy27k3m3zb5yi	504	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	504	12	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	504	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	504	14	prepared	prepare	VBN
work_oavbptqpunch5jy27k3m3zb5yi	504	15	figures	figure	NNS
work_oavbptqpunch5jy27k3m3zb5yi	504	16	and/or	and/or	CC
work_oavbptqpunch5jy27k3m3zb5yi	504	17	tables	table	NNS
work_oavbptqpunch5jy27k3m3zb5yi	504	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	504	19	authored	author	VBN
work_oavbptqpunch5jy27k3m3zb5yi	504	20	or	or	CC
work_oavbptqpunch5jy27k3m3zb5yi	504	21	reviewed	review	VBN
work_oavbptqpunch5jy27k3m3zb5yi	504	22	drafts	draft	NNS
work_oavbptqpunch5jy27k3m3zb5yi	504	23	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	504	24	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	504	25	paper	paper	NN
work_oavbptqpunch5jy27k3m3zb5yi	504	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	504	27	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	504	28	approved	approve	VBD
work_oavbptqpunch5jy27k3m3zb5yi	504	29	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	504	30	final	final	JJ
work_oavbptqpunch5jy27k3m3zb5yi	504	31	draft	draft	NN
work_oavbptqpunch5jy27k3m3zb5yi	504	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	505	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	505	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	505	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	505	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	505	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	505	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	505	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	505	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	505	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	505	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	506	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	506	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	506	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	506	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	506	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	10	25/30	25/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	506	11	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_oavbptqpunch5jy27k3m3zb5yi	506	12	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	506	13	Data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	506	14	Availability	availability	NN
work_oavbptqpunch5jy27k3m3zb5yi	506	15	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	506	16	following	follow	VBG
work_oavbptqpunch5jy27k3m3zb5yi	506	17	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	506	18	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	506	19	supplied	supply	VBN
work_oavbptqpunch5jy27k3m3zb5yi	506	20	regarding	regard	VBG
work_oavbptqpunch5jy27k3m3zb5yi	506	21	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	506	22	availability	availability	NN
work_oavbptqpunch5jy27k3m3zb5yi	506	23	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	506	24	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	506	25	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	506	26	is	be	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	506	27	available	available	JJ
work_oavbptqpunch5jy27k3m3zb5yi	506	28	at	at	IN
work_oavbptqpunch5jy27k3m3zb5yi	506	29	Kaggle	Kaggle	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	30	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	506	31	Eduardo	Eduardo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	32	Soares	Soares	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	506	33	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	506	34	Plamen	Plamen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	35	Angelov	Angelov	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	36	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	506	37	“	"	``
work_oavbptqpunch5jy27k3m3zb5yi	506	38	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	39	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	506	40	COV-2	COV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	41	Ct	Ct	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	42	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	506	43	Scan	Scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	44	Dataset	Dataset	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	45	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	506	46	”	"	''
work_oavbptqpunch5jy27k3m3zb5yi	506	47	Kaggle	Kaggle	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	48	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	506	49	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	50	10.34740	10.34740	CD
work_oavbptqpunch5jy27k3m3zb5yi	506	51	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	506	52	KAGGLE	KAGGLE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	506	53	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	506	54	DSV/1199870	dsv/1199870	UH
work_oavbptqpunch5jy27k3m3zb5yi	506	55	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	507	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	507	2	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	507	3	was	be	VBD
work_oavbptqpunch5jy27k3m3zb5yi	507	4	described	describe	VBN
work_oavbptqpunch5jy27k3m3zb5yi	507	5	at	at	IN
work_oavbptqpunch5jy27k3m3zb5yi	507	6	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	507	7	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	507	8	Fully	fully	RB
work_oavbptqpunch5jy27k3m3zb5yi	507	9	Automated	Automated	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	10	Deep	Deep	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	11	Learning	Learning	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	507	13	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	507	14	Network	Network	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	15	For	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	507	16	Detecting	Detecting	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	17	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	507	18	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	507	19	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	507	20	New	New	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	21	And	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	507	22	Large	Large	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	23	Lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	507	24	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	25	Scan	Scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	26	Dataset	Dataset	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	507	28	Mohammad	Mohammad	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	29	Rahimzadeh	Rahimzadeh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	507	31	Abolfazl	Abolfazl	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	32	Attar	Attar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	33	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	507	34	Seyed	Seyed	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	35	Mohammad	Mohammad	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	36	Sakhaei	Sakhaei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	507	37	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	508	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	508	2	2020.06.08.20121541	2020.06.08.20121541	NNP
work_oavbptqpunch5jy27k3m3zb5yi	508	3	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	508	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	508	5	10.1101/2020.06.08.20121541	10.1101/2020.06.08.20121541	CD
work_oavbptqpunch5jy27k3m3zb5yi	508	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	509	1	Supplemental	supplemental	JJ
work_oavbptqpunch5jy27k3m3zb5yi	509	2	Information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	509	3	Supplemental	supplemental	JJ
work_oavbptqpunch5jy27k3m3zb5yi	509	4	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	509	5	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	509	6	this	this	DT
work_oavbptqpunch5jy27k3m3zb5yi	509	7	article	article	NN
work_oavbptqpunch5jy27k3m3zb5yi	509	8	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	509	9	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	509	10	found	find	VBN
work_oavbptqpunch5jy27k3m3zb5yi	509	11	online	online	RB
work_oavbptqpunch5jy27k3m3zb5yi	509	12	at	at	IN
work_oavbptqpunch5jy27k3m3zb5yi	509	13	http://dx.doi.org/10.7717/	http://dx.doi.org/10.7717/	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	509	14	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	509	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	509	16	cs.306#supplemental	cs.306#supplemental	NNP
work_oavbptqpunch5jy27k3m3zb5yi	509	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	509	18	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	509	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	510	1	REFERENCES	REFERENCES	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	2	Ai	Ai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	3	T	T	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	5	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	6	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	8	Hou	Hou	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	9	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	11	Zhan	Zhan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	12	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	13	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	14	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	15	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	16	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	17	Lv	Lv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	18	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	20	Tao	Tao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	21	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	23	Sun	Sun	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	24	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	510	26	Xia	Xia	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	27	L.	L.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	510	28	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	510	29	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	511	1	Correlation	correlation	NN
work_oavbptqpunch5jy27k3m3zb5yi	511	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	511	3	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	511	4	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	511	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	511	6	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	511	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	511	8	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	511	9	testing	testing	NN
work_oavbptqpunch5jy27k3m3zb5yi	511	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	511	11	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	511	12	disease	disease	NNP
work_oavbptqpunch5jy27k3m3zb5yi	511	13	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	511	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	511	15	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	511	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	511	17	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	511	18	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	511	19	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	511	20	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	511	21	report	report	NN
work_oavbptqpunch5jy27k3m3zb5yi	511	22	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	511	23	1014	1014	CD
work_oavbptqpunch5jy27k3m3zb5yi	511	24	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	511	25	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	512	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	512	2	200642(2):E32–E40	200642(2):e32–e40	CD
work_oavbptqpunch5jy27k3m3zb5yi	512	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	512	4	10.1148	10.1148	CD
work_oavbptqpunch5jy27k3m3zb5yi	512	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	512	6	radiol.2020200642	radiol.2020200642	NN
work_oavbptqpunch5jy27k3m3zb5yi	512	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	513	1	Al	Al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	513	3	Shamasneh	Shamasneh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	4	AR	AR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	513	6	Jalab	Jalab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	7	HA	HA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	513	9	Palaiahnakote	Palaiahnakote	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	10	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	513	12	Obaidellah	Obaidellah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	13	UH	UH	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	513	15	Ibrahim	Ibrahim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	16	RW	RW	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	513	18	El	El	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	19	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	513	20	Melegy	Melegy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	21	MT	MT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	513	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	514	1	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	514	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	515	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	515	2	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	515	3	local	local	JJ
work_oavbptqpunch5jy27k3m3zb5yi	515	4	fractional	fractional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	515	5	entropy	entropy	RB
work_oavbptqpunch5jy27k3m3zb5yi	515	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	515	7	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	515	8	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	515	9	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	515	10	kidney	kidney	NN
work_oavbptqpunch5jy27k3m3zb5yi	515	11	MRI	MRI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	515	12	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	515	13	enhancement	enhancement	NN
work_oavbptqpunch5jy27k3m3zb5yi	515	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	516	1	Entropy	Entropy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	516	2	20(5):344	20(5):344	CD
work_oavbptqpunch5jy27k3m3zb5yi	516	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	516	4	10.3390	10.3390	CD
work_oavbptqpunch5jy27k3m3zb5yi	516	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	516	6	e20050344	e20050344	NNP
work_oavbptqpunch5jy27k3m3zb5yi	516	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	517	1	Amyar	Amyar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	517	2	A	a	NN
work_oavbptqpunch5jy27k3m3zb5yi	517	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	517	4	Modzelewski	Modzelewski	NNP
work_oavbptqpunch5jy27k3m3zb5yi	517	5	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	517	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	517	7	Ruan	Ruan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	517	8	S.	S.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	517	9	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	517	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	518	1	Multi	multi	JJ
work_oavbptqpunch5jy27k3m3zb5yi	518	2	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	518	3	task	task	JJ
work_oavbptqpunch5jy27k3m3zb5yi	518	4	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	518	5	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	518	6	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	518	7	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	518	8	imaging	image	VBG
work_oavbptqpunch5jy27k3m3zb5yi	518	9	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	518	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	518	11	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	518	12	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	518	13	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	518	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	518	15	segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	518	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	519	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	519	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	519	3	10.1101/2020.04.16.20064709	10.1101/2020.04.16.20064709	CD
work_oavbptqpunch5jy27k3m3zb5yi	519	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	520	1	Anitha	Anitha	NNP
work_oavbptqpunch5jy27k3m3zb5yi	520	2	V	V	NNP
work_oavbptqpunch5jy27k3m3zb5yi	520	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	520	4	Murugavalli	Murugavalli	NNP
work_oavbptqpunch5jy27k3m3zb5yi	520	5	S.	S.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	520	6	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	520	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	521	1	Brain	brain	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	2	tumour	tumour	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	3	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	4	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	521	5	two	two	CD
work_oavbptqpunch5jy27k3m3zb5yi	521	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	521	7	tier	tier	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	8	classifier	classifier	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	9	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	521	10	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	521	11	segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	12	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	521	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	522	1	IET	IET	NNP
work_oavbptqpunch5jy27k3m3zb5yi	522	2	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	522	3	Vision	vision	NN
work_oavbptqpunch5jy27k3m3zb5yi	522	4	10(1):9–17	10(1):9–17	CD
work_oavbptqpunch5jy27k3m3zb5yi	522	5	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	522	6	10.1049	10.1049	CD
work_oavbptqpunch5jy27k3m3zb5yi	522	7	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	522	8	iet	iet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	522	9	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	522	10	cvi.2014.0193	cvi.2014.0193	NNP
work_oavbptqpunch5jy27k3m3zb5yi	522	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	523	1	Ardakani	Ardakani	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	2	AA	AA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	523	4	Kanafi	Kanafi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	5	AR	AR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	523	7	Acharya	Acharya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	8	UR	UR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	523	10	Khadem	Khadem	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	11	N	N	NNP
work_oavbptqpunch5jy27k3m3zb5yi	523	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	523	13	Mohammadi	Mohammadi	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	523	14	A.	a.	NN
work_oavbptqpunch5jy27k3m3zb5yi	524	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	524	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	525	1	Application	application	NN
work_oavbptqpunch5jy27k3m3zb5yi	525	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	525	3	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	525	4	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	525	5	technique	technique	NN
work_oavbptqpunch5jy27k3m3zb5yi	525	6	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	525	7	manage	manage	VB
work_oavbptqpunch5jy27k3m3zb5yi	525	8	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	525	9	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	525	10	routine	routine	JJ
work_oavbptqpunch5jy27k3m3zb5yi	525	11	clinical	clinical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	525	12	practice	practice	NN
work_oavbptqpunch5jy27k3m3zb5yi	525	13	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	525	14	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	525	15	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	525	16	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	525	17	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	525	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	525	19	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	525	20	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	525	21	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	525	22	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	525	23	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	526	1	Computers	computer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	526	2	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	526	3	Biology	Biology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	526	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	526	5	Medicine	Medicine	NNP
work_oavbptqpunch5jy27k3m3zb5yi	526	6	121:103795	121:103795	NNP
work_oavbptqpunch5jy27k3m3zb5yi	526	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	527	1	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	527	2	O.	O.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	528	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	528	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	529	1	An	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	529	2	effective	effective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	529	3	mental	mental	JJ
work_oavbptqpunch5jy27k3m3zb5yi	529	4	stress	stress	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	5	state	state	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	6	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	529	8	evaluation	evaluation	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	9	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	10	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	529	11	minimum	minimum	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	12	number	number	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	529	14	frontal	frontal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	529	15	brain	brain	NN
work_oavbptqpunch5jy27k3m3zb5yi	529	16	electrodes	electrode	NNS
work_oavbptqpunch5jy27k3m3zb5yi	529	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	530	1	Diagnostics	diagnostic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	530	2	10(5):292–327	10(5):292–327	CD
work_oavbptqpunch5jy27k3m3zb5yi	530	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	530	4	10.3390	10.3390	CD
work_oavbptqpunch5jy27k3m3zb5yi	530	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	530	6	diagnostics10050292	diagnostics10050292	NNP
work_oavbptqpunch5jy27k3m3zb5yi	530	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	531	1	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	531	2	O	O	NNP
work_oavbptqpunch5jy27k3m3zb5yi	531	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	531	4	Gadelkarim	Gadelkarim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	531	5	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	531	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	531	7	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	531	8	MA	MA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	531	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	532	1	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	532	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	533	1	Detecting	detect	VBG
work_oavbptqpunch5jy27k3m3zb5yi	533	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	533	3	classifying	classify	VBG
work_oavbptqpunch5jy27k3m3zb5yi	533	4	fetal	fetal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	533	5	brain	brain	NN
work_oavbptqpunch5jy27k3m3zb5yi	533	6	abnormalities	abnormality	NNS
work_oavbptqpunch5jy27k3m3zb5yi	533	7	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	533	8	machine	machine	NN
work_oavbptqpunch5jy27k3m3zb5yi	533	9	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	533	10	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	533	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	534	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	534	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	534	3	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	534	4	17th	17th	JJ
work_oavbptqpunch5jy27k3m3zb5yi	534	5	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	534	6	International	International	NNP
work_oavbptqpunch5jy27k3m3zb5yi	534	7	Conference	Conference	NNP
work_oavbptqpunch5jy27k3m3zb5yi	534	8	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	534	9	Machine	Machine	NNP
work_oavbptqpunch5jy27k3m3zb5yi	534	10	Learning	Learning	NNP
work_oavbptqpunch5jy27k3m3zb5yi	534	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	534	12	Applications	Applications	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	534	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	534	14	ICMLA	ICMLA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	534	15	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	534	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	535	1	1371–1376	1371–1376	ADD
work_oavbptqpunch5jy27k3m3zb5yi	535	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	536	1	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	2	O	O	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	4	Karthikesalingam	Karthikesalingam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	5	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	7	Holt	Holt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	8	PJ	PJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	10	Thompson	Thompson	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	11	MM	MM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	13	Sayers	Sayers	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	14	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	16	Bown	Bown	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	17	MJ	MJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	19	Choke	Choke	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	20	EC	EC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	536	22	Ma	Ma	NNP
work_oavbptqpunch5jy27k3m3zb5yi	536	23	X.	X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	537	1	2017a	2017a	CD
work_oavbptqpunch5jy27k3m3zb5yi	537	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	538	1	Using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	538	2	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	538	3	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	538	4	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	538	5	predicting	predict	VBG
work_oavbptqpunch5jy27k3m3zb5yi	538	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	538	7	risk	risk	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	538	9	endovascular	endovascular	JJ
work_oavbptqpunch5jy27k3m3zb5yi	538	10	aortic	aortic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	538	11	aneurysm	aneurysm	NNS
work_oavbptqpunch5jy27k3m3zb5yi	538	12	repair	repair	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	13	re	re	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	14	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	15	intervention	intervention	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	16	through	through	IN
work_oavbptqpunch5jy27k3m3zb5yi	538	17	hybrid	hybrid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	538	18	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	19	selection	selection	NN
work_oavbptqpunch5jy27k3m3zb5yi	538	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	539	1	Proceedings	proceeding	NNS
work_oavbptqpunch5jy27k3m3zb5yi	539	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	539	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	539	4	Institution	Institution	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	5	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	539	6	Mechanical	Mechanical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	7	Engineers	Engineers	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	539	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	539	9	Part	Part	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	10	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	11	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	539	12	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	539	14	Engineering	Engineering	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	539	16	Medicine	Medicine	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	17	231(11):1048–1063	231(11):1048–1063	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	18	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	539	19	10.1177/0954411917731592	10.1177/0954411917731592	CD
work_oavbptqpunch5jy27k3m3zb5yi	539	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	540	1	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	2	O	O	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	4	Karthikesalingam	Karthikesalingam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	5	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	7	Holt	Holt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	8	PJ	PJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	10	Thompson	Thompson	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	11	MM	MM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	13	Sayers	Sayers	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	14	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	16	Bown	Bown	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	17	MJ	MJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	19	Choke	Choke	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	20	EC	EC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	540	22	Ma	Ma	NNP
work_oavbptqpunch5jy27k3m3zb5yi	540	23	X.	X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	541	1	2017b	2017b	CD
work_oavbptqpunch5jy27k3m3zb5yi	541	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	542	1	Feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	2	selection	selection	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	3	through	through	IN
work_oavbptqpunch5jy27k3m3zb5yi	542	4	validation	validation	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	542	6	un	un	NNP
work_oavbptqpunch5jy27k3m3zb5yi	542	7	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	542	8	censoring	censoring	NNP
work_oavbptqpunch5jy27k3m3zb5yi	542	9	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	542	10	endovascular	endovascular	JJ
work_oavbptqpunch5jy27k3m3zb5yi	542	11	repair	repair	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	12	survival	survival	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	13	data	datum	NNS
work_oavbptqpunch5jy27k3m3zb5yi	542	14	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	542	15	predicting	predict	VBG
work_oavbptqpunch5jy27k3m3zb5yi	542	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	542	17	risk	risk	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	542	19	re	re	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	20	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	21	intervention	intervention	NN
work_oavbptqpunch5jy27k3m3zb5yi	542	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	543	1	BMC	BMC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	543	2	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	543	3	informatics	informatic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	543	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	543	5	decision	decision	NN
work_oavbptqpunch5jy27k3m3zb5yi	543	6	making	make	VBG
work_oavbptqpunch5jy27k3m3zb5yi	543	7	17(1):115–133	17(1):115–133	CD
work_oavbptqpunch5jy27k3m3zb5yi	543	8	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	543	9	10.1186	10.1186	CD
work_oavbptqpunch5jy27k3m3zb5yi	543	10	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	543	11	s12911	s12911	NNP
work_oavbptqpunch5jy27k3m3zb5yi	543	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	543	13	017	017	CD
work_oavbptqpunch5jy27k3m3zb5yi	543	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	543	15	0508	0508	CD
work_oavbptqpunch5jy27k3m3zb5yi	543	16	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	543	17	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	543	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	544	1	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	544	2	O	O	NNP
work_oavbptqpunch5jy27k3m3zb5yi	544	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	544	4	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	544	5	MA	MA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	544	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	544	7	Gadelkarim	Gadelkarim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	544	8	H.	H.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	544	9	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	544	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	545	1	Fetal	fetal	JJ
work_oavbptqpunch5jy27k3m3zb5yi	545	2	brain	brain	NN
work_oavbptqpunch5jy27k3m3zb5yi	545	3	abnormality	abnormality	NN
work_oavbptqpunch5jy27k3m3zb5yi	545	4	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	545	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	545	6	MRI	MRI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	545	7	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	545	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	545	9	different	different	JJ
work_oavbptqpunch5jy27k3m3zb5yi	545	10	gestational	gestational	JJ
work_oavbptqpunch5jy27k3m3zb5yi	545	11	age	age	NN
work_oavbptqpunch5jy27k3m3zb5yi	545	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	546	1	Brain	Brain	NNP
work_oavbptqpunch5jy27k3m3zb5yi	546	2	Sciences	Sciences	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	546	3	9(9):231–252	9(9):231–252	CD
work_oavbptqpunch5jy27k3m3zb5yi	546	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	546	5	10.3390	10.3390	CD
work_oavbptqpunch5jy27k3m3zb5yi	546	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	546	7	brainsci9090231	brainsci9090231	NNP
work_oavbptqpunch5jy27k3m3zb5yi	546	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	547	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	547	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	547	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	547	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	547	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	547	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	547	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	547	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	547	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	547	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	548	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	548	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	548	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	548	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	548	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	10	26/30	26/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	548	11	https://dx.doi.org/10.34740/KAGGLE/DSV/1199870	https://dx.doi.org/10.34740/kaggle/dsv/1199870	CD
work_oavbptqpunch5jy27k3m3zb5yi	548	12	https://dx.doi.org/10.1101/2020.06.08.20121541	https://dx.doi.org/10.1101/2020.06.08.20121541	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	13	http://dx.doi.org/10.7717/peerj-cs.306#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.306#supplemental-information	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	14	http://dx.doi.org/10.7717/peerj-cs.306#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.306#supplemental-information	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	15	http://dx.doi.org/10.1148/radiol.2020200642	http://dx.doi.org/10.1148/radiol.2020200642	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	16	http://dx.doi.org/10.3390/e20050344	http://dx.doi.org/10.3390/e20050344	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	548	17	http://dx.doi.org/10.1101/2020.04.16.20064709	http://dx.doi.org/10.1101/2020.04.16.20064709	ADD
work_oavbptqpunch5jy27k3m3zb5yi	548	18	http://dx.doi.org/10.1049/iet-cvi.2014.0193	http://dx.doi.org/10.1049/iet-cvi.2014.0193	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	19	http://dx.doi.org/10.3390/diagnostics10050292	http://dx.doi.org/10.3390/diagnostics10050292	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	20	http://dx.doi.org/10.1177/0954411917731592	http://dx.doi.org/10.1177/0954411917731592	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	21	http://dx.doi.org/10.1186/s12911-017-0508-3	http://dx.doi.org/10.1186/s12911-017-0508-3	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	22	http://dx.doi.org/10.3390/brainsci9090231	http://dx.doi.org/10.3390/brainsci9090231	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	23	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	24	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	UH
work_oavbptqpunch5jy27k3m3zb5yi	548	25	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	26	O	O	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	548	28	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	29	MA	MA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	548	31	Gadelkarim	Gadelkarim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	32	H.	H.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	548	33	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	548	34	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	549	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	549	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	549	3	techniques	technique	NNS
work_oavbptqpunch5jy27k3m3zb5yi	549	4	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	549	5	automatic	automatic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	549	6	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	549	7	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	549	8	embryonic	embryonic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	549	9	neurodevelopmental	neurodevelopmental	JJ
work_oavbptqpunch5jy27k3m3zb5yi	549	10	disorders	disorder	NNS
work_oavbptqpunch5jy27k3m3zb5yi	549	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	550	1	Diagnostics	diagnostic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	550	2	10(1):27–49	10(1):27–49	CD
work_oavbptqpunch5jy27k3m3zb5yi	550	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	550	4	10.3390	10.3390	CD
work_oavbptqpunch5jy27k3m3zb5yi	550	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	550	6	diagnostics10010027	diagnostics10010027	CD
work_oavbptqpunch5jy27k3m3zb5yi	550	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	551	1	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	2	HX	HX	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	4	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	5	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	7	Xiong	Xiong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	8	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	10	Hsieh	Hsieh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	11	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	13	Chang	Chang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	14	K	K	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	16	Halsey	Halsey	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	17	K	K	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	19	Tran	Tran	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	20	TML	TML	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	22	Choi	Choi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	23	JW	JW	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	25	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	26	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	27	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	551	28	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	551	30	Shi	Shi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	31	L-	L-	NNP
work_oavbptqpunch5jy27k3m3zb5yi	551	32	B.	B.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	552	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	552	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	553	1	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	553	2	augmentation	augmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	553	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	553	4	radiologist	radiologist	JJ
work_oavbptqpunch5jy27k3m3zb5yi	553	5	performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	553	6	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	553	7	distinguishing	distinguish	VBG
work_oavbptqpunch5jy27k3m3zb5yi	553	8	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	553	9	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	553	10	pneumonia	pneumonia	NNP
work_oavbptqpunch5jy27k3m3zb5yi	553	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	553	12	other	other	JJ
work_oavbptqpunch5jy27k3m3zb5yi	553	13	etiology	etiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	553	14	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	553	15	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	553	16	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	553	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	553	18	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	553	19	296(3):201491	296(3):201491	NN
work_oavbptqpunch5jy27k3m3zb5yi	553	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	554	1	Butt	Butt	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	2	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	554	4	Gill	Gill	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	5	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	554	7	Chun	Chun	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	8	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	554	10	Babu	Babu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	11	BA	BA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	554	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	555	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	555	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	556	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	556	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	556	3	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	556	4	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	556	5	screen	screen	VB
work_oavbptqpunch5jy27k3m3zb5yi	556	6	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	556	7	disease	disease	NNP
work_oavbptqpunch5jy27k3m3zb5yi	556	8	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	556	9	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	556	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	557	1	Applied	Applied	NNP
work_oavbptqpunch5jy27k3m3zb5yi	557	2	Intelligence	Intelligence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	557	3	1(5):291	1(5):291	NNP
work_oavbptqpunch5jy27k3m3zb5yi	557	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	557	5	10.1007	10.1007	CD
work_oavbptqpunch5jy27k3m3zb5yi	557	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	557	7	s10489	s10489	JJ
work_oavbptqpunch5jy27k3m3zb5yi	557	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	557	9	020	020	CD
work_oavbptqpunch5jy27k3m3zb5yi	557	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	557	11	01714	01714	CD
work_oavbptqpunch5jy27k3m3zb5yi	557	12	-	-	SYM
work_oavbptqpunch5jy27k3m3zb5yi	557	13	3	3	CD
work_oavbptqpunch5jy27k3m3zb5yi	557	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	558	1	Capizzi	Capizzi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	2	G	G	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	558	4	Sciuto	Sciuto	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	5	GL	GL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	558	7	Napoli	Napoli	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	8	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	558	10	Polap	Polap	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	11	D	d	NN
work_oavbptqpunch5jy27k3m3zb5yi	558	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	558	13	Woźniak	Woźniak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	14	M.	M.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	558	15	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	558	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	559	1	Small	small	JJ
work_oavbptqpunch5jy27k3m3zb5yi	559	2	lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	559	3	nodules	nodule	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	559	4	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	559	5	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	559	6	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	559	7	fuzzy	fuzzy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	559	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	559	9	logic	logic	NN
work_oavbptqpunch5jy27k3m3zb5yi	559	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	559	11	probabilistic	probabilistic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	559	12	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	559	13	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	559	14	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	559	15	bio	bio	NNP
work_oavbptqpunch5jy27k3m3zb5yi	559	16	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	559	17	inspired	inspire	VBN
work_oavbptqpunch5jy27k3m3zb5yi	559	18	reinforcement	reinforcement	NN
work_oavbptqpunch5jy27k3m3zb5yi	559	19	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	559	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	560	1	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	560	2	Transactions	transaction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	560	3	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	560	4	Fuzzy	Fuzzy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	560	5	Systems	Systems	NNP
work_oavbptqpunch5jy27k3m3zb5yi	560	6	28(6):1178–1189	28(6):1178–1189	CD
work_oavbptqpunch5jy27k3m3zb5yi	560	7	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	560	8	10.1109	10.1109	CD
work_oavbptqpunch5jy27k3m3zb5yi	560	9	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	560	10	TFUZZ.91	tfuzz.91	CD
work_oavbptqpunch5jy27k3m3zb5yi	560	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	561	1	Castellano	Castellano	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	2	G	g	NN
work_oavbptqpunch5jy27k3m3zb5yi	561	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	561	4	Bonilha	Bonilha	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	5	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	561	7	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	8	LM	LM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	561	10	Cendes	Cendes	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	11	F.	F.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	561	12	2004	2004	CD
work_oavbptqpunch5jy27k3m3zb5yi	561	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	562	1	Texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	562	2	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	562	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	562	4	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	562	5	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	562	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	563	1	Clinical	Clinical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	563	2	Radiology	Radiology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	563	3	59(12):1061–1069	59(12):1061–1069	CD
work_oavbptqpunch5jy27k3m3zb5yi	563	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	563	5	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	563	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	563	7	j.crad.2004.07.008	j.crad.2004.07.008	NNP
work_oavbptqpunch5jy27k3m3zb5yi	563	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	564	1	Chato	Chato	NNP
work_oavbptqpunch5jy27k3m3zb5yi	564	2	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	564	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	564	4	Chow	Chow	NNP
work_oavbptqpunch5jy27k3m3zb5yi	564	5	E	E	NNP
work_oavbptqpunch5jy27k3m3zb5yi	564	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	564	7	Latifi	Latifi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	564	8	S.	S.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	564	9	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	564	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	565	1	Wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	2	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	3	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	565	4	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	565	5	accuracy	accuracy	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	565	7	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	565	8	prediction	prediction	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	9	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	565	11	overall	overall	JJ
work_oavbptqpunch5jy27k3m3zb5yi	565	12	survival	survival	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	13	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	14	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	565	15	brain	brain	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	16	tumor	tumor	NN
work_oavbptqpunch5jy27k3m3zb5yi	565	17	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	565	18	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	565	19	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	565	20	MRI	MRI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	565	21	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	565	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	566	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	566	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	566	3	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	566	4	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	566	5	International	International	NNP
work_oavbptqpunch5jy27k3m3zb5yi	566	6	Conference	Conference	NNP
work_oavbptqpunch5jy27k3m3zb5yi	566	7	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	566	8	Healthcare	Healthcare	NNP
work_oavbptqpunch5jy27k3m3zb5yi	566	9	Informatics	Informatics	NNP
work_oavbptqpunch5jy27k3m3zb5yi	566	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	566	11	ICHI	ICHI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	566	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	566	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	567	1	441–442	441–442	CD
work_oavbptqpunch5jy27k3m3zb5yi	567	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	568	1	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	2	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	4	Wu	Wu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	5	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	7	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	8	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	10	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	11	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	13	Gong	Gong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	14	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	16	Zhao	Zhao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	17	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	19	Hu	Hu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	20	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	22	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	23	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	25	Hu	Hu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	26	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	568	28	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	568	29	B.	B.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	569	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	569	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	570	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	570	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	570	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	570	4	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	570	5	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	570	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	570	7	detecting	detect	VBG
work_oavbptqpunch5jy27k3m3zb5yi	570	8	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	570	9	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	570	10	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	570	11	pneumonia	pneumonia	NNP
work_oavbptqpunch5jy27k3m3zb5yi	570	12	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	570	13	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	570	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	570	15	resolution	resolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	570	16	computed	compute	VBD
work_oavbptqpunch5jy27k3m3zb5yi	570	17	tomography	tomography	NN
work_oavbptqpunch5jy27k3m3zb5yi	570	18	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	570	19	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	570	20	prospective	prospective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	570	21	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	570	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	571	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	571	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	571	3	10.1101/2020.02.25.20021568	10.1101/2020.02.25.20021568	CD
work_oavbptqpunch5jy27k3m3zb5yi	571	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	572	1	Cheng	Cheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	2	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	4	Qin	Qin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	5	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	7	Cao	Cao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	8	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	10	Dai	Dai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	11	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	13	Pan	Pan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	14	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	16	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	17	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	19	Gao	Gao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	20	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	22	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	23	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	572	25	Yan	Yan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	26	F.	F.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	572	27	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	572	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	573	1	Quantitative	quantitative	JJ
work_oavbptqpunch5jy27k3m3zb5yi	573	2	computed	compute	VBD
work_oavbptqpunch5jy27k3m3zb5yi	573	3	tomography	tomography	NN
work_oavbptqpunch5jy27k3m3zb5yi	573	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	573	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	573	6	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	573	7	disease	disease	NNP
work_oavbptqpunch5jy27k3m3zb5yi	573	8	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	573	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	573	10	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	573	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	573	12	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	573	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	574	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	574	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	574	3	Infectious	Infectious	NNP
work_oavbptqpunch5jy27k3m3zb5yi	574	4	Diseases	Diseases	NNP
work_oavbptqpunch5jy27k3m3zb5yi	574	5	7(2):55–61	7(2):55–61	CD
work_oavbptqpunch5jy27k3m3zb5yi	574	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	575	1	Chung	Chung	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	2	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	4	Bernheim	Bernheim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	5	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	7	Mei	Mei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	8	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	10	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	11	N	N	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	13	Huang	Huang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	14	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	16	Zeng	Zeng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	17	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	19	Cui	Cui	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	20	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	22	Xu	Xu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	23	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	25	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	26	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	575	28	Fayad	Fayad	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	29	ZA	ZA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	575	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	576	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	576	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	577	1	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	577	2	imaging	image	VBG
work_oavbptqpunch5jy27k3m3zb5yi	577	3	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	577	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	577	5	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	577	6	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	577	7	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	577	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	577	9	2019-nCoV	2019-ncov	CD
work_oavbptqpunch5jy27k3m3zb5yi	577	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	577	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	578	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	578	2	295(1):202–207	295(1):202–207	CD
work_oavbptqpunch5jy27k3m3zb5yi	578	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	578	4	10.1148	10.1148	CD
work_oavbptqpunch5jy27k3m3zb5yi	578	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	578	6	radiol.2020200230	radiol.2020200230	NNS
work_oavbptqpunch5jy27k3m3zb5yi	578	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	579	1	Colquhoun	Colquhoun	NNP
work_oavbptqpunch5jy27k3m3zb5yi	579	2	D.	D.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	579	3	2014	2014	CD
work_oavbptqpunch5jy27k3m3zb5yi	579	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	580	1	An	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	580	2	investigation	investigation	NN
work_oavbptqpunch5jy27k3m3zb5yi	580	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	580	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	580	5	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	580	6	discovery	discovery	NN
work_oavbptqpunch5jy27k3m3zb5yi	580	7	rate	rate	NN
work_oavbptqpunch5jy27k3m3zb5yi	580	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	580	9	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	580	10	misinterpretation	misinterpretation	NN
work_oavbptqpunch5jy27k3m3zb5yi	580	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	580	12	p	p	NN
work_oavbptqpunch5jy27k3m3zb5yi	580	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	580	14	values	value	NNS
work_oavbptqpunch5jy27k3m3zb5yi	580	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	581	1	Royal	Royal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	581	2	Society	Society	NNP
work_oavbptqpunch5jy27k3m3zb5yi	581	3	Open	Open	NNP
work_oavbptqpunch5jy27k3m3zb5yi	581	4	Science	Science	NNP
work_oavbptqpunch5jy27k3m3zb5yi	581	5	1(3):140216	1(3):140216	CD
work_oavbptqpunch5jy27k3m3zb5yi	581	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	581	7	10.1098	10.1098	CD
work_oavbptqpunch5jy27k3m3zb5yi	581	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	581	9	rsos.140216	rsos.140216	NNP
work_oavbptqpunch5jy27k3m3zb5yi	581	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	582	1	Depeursinge	Depeursinge	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	2	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	582	4	Al	Al	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	582	6	Kadi	Kadi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	7	OS	OS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	582	9	Ross	Ross	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	10	Mitchell	Mitchell	NNP
work_oavbptqpunch5jy27k3m3zb5yi	582	11	J.	J.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	583	1	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	583	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	584	1	Biomedical	biomedical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	584	2	texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	584	3	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	584	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	585	1	First	First	NNP
work_oavbptqpunch5jy27k3m3zb5yi	585	2	Edition	Edition	NNP
work_oavbptqpunch5jy27k3m3zb5yi	585	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	586	1	Cambridge	Cambridge	NNP
work_oavbptqpunch5jy27k3m3zb5yi	586	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	586	3	Academic	Academic	NNP
work_oavbptqpunch5jy27k3m3zb5yi	586	4	Press	Press	NNP
work_oavbptqpunch5jy27k3m3zb5yi	586	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	587	1	Dirvanauskas	dirvanauskas	JJ
work_oavbptqpunch5jy27k3m3zb5yi	587	2	D	d	NN
work_oavbptqpunch5jy27k3m3zb5yi	587	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	587	4	Maskeliunas	Maskeliunas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	587	5	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	587	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	587	7	Raudonis	Raudonis	NNP
work_oavbptqpunch5jy27k3m3zb5yi	587	8	V	V	NNP
work_oavbptqpunch5jy27k3m3zb5yi	587	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	587	10	Damasevicius	Damasevicius	NNP
work_oavbptqpunch5jy27k3m3zb5yi	587	11	R.	R.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	587	12	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	587	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	588	1	Embryo	embryo	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	2	development	development	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	3	stage	stage	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	4	prediction	prediction	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	5	algorithm	algorithm	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	588	7	automated	automated	JJ
work_oavbptqpunch5jy27k3m3zb5yi	588	8	time	time	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	9	lapse	lapse	NN
work_oavbptqpunch5jy27k3m3zb5yi	588	10	incubators	incubator	NNS
work_oavbptqpunch5jy27k3m3zb5yi	588	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	589	1	Computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	589	2	Methods	Methods	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	589	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	589	4	Programs	Programs	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	589	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	589	6	Biomedicine	Biomedicine	NNP
work_oavbptqpunch5jy27k3m3zb5yi	589	7	177:161–174	177:161–174	CD
work_oavbptqpunch5jy27k3m3zb5yi	589	8	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	589	9	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	589	10	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	589	11	j.cmpb.2019.05.027	j.cmpb.2019.05.027	CD
work_oavbptqpunch5jy27k3m3zb5yi	589	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	590	1	Dong	Dong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	2	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	4	Tang	Tang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	5	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	7	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	8	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	10	Hui	Hui	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	11	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	13	Gong	Gong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	14	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	16	Lu	Lu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	17	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	19	Xue	Xue	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	20	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	22	Liao	Liao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	23	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	25	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	26	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	590	28	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	29	F.	F.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	590	30	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	590	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	591	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	591	2	role	role	NN
work_oavbptqpunch5jy27k3m3zb5yi	591	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	591	4	imaging	image	VBG
work_oavbptqpunch5jy27k3m3zb5yi	591	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	591	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	591	7	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	591	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	591	9	management	management	NN
work_oavbptqpunch5jy27k3m3zb5yi	591	10	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	591	11	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	591	12	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	591	13	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	591	14	review	review	NN
work_oavbptqpunch5jy27k3m3zb5yi	591	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	592	1	Epub	Epub	NNS
work_oavbptqpunch5jy27k3m3zb5yi	592	2	ahead	ahead	RB
work_oavbptqpunch5jy27k3m3zb5yi	592	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	592	4	print	print	NN
work_oavbptqpunch5jy27k3m3zb5yi	592	5	27	27	CD
work_oavbptqpunch5jy27k3m3zb5yi	592	6	April	April	NNP
work_oavbptqpunch5jy27k3m3zb5yi	592	7	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	592	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	593	1	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	593	2	Reviews	Reviews	NNP
work_oavbptqpunch5jy27k3m3zb5yi	593	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	593	4	Biomedical	Biomedical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	593	5	Engineering	Engineering	NNP
work_oavbptqpunch5jy27k3m3zb5yi	593	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	593	7	10.1109	10.1109	CD
work_oavbptqpunch5jy27k3m3zb5yi	593	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	593	9	RBME.4664312	RBME.4664312	NNP
work_oavbptqpunch5jy27k3m3zb5yi	593	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	594	1	Ellis	Ellis	NNP
work_oavbptqpunch5jy27k3m3zb5yi	594	2	PD	PD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	594	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	595	1	2010	2010	CD
work_oavbptqpunch5jy27k3m3zb5yi	595	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	596	1	The	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	596	2	essential	essential	JJ
work_oavbptqpunch5jy27k3m3zb5yi	596	3	guide	guide	NN
work_oavbptqpunch5jy27k3m3zb5yi	596	4	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	596	5	effect	effect	VB
work_oavbptqpunch5jy27k3m3zb5yi	596	6	sizes	size	NNS
work_oavbptqpunch5jy27k3m3zb5yi	596	7	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	596	8	Statistical	statistical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	596	9	power	power	NN
work_oavbptqpunch5jy27k3m3zb5yi	596	10	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	596	11	meta	meta	JJ
work_oavbptqpunch5jy27k3m3zb5yi	596	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	596	13	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	596	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	596	15	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	596	16	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	596	17	interpretation	interpretation	NN
work_oavbptqpunch5jy27k3m3zb5yi	596	18	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	596	19	research	research	NN
work_oavbptqpunch5jy27k3m3zb5yi	596	20	results	result	NNS
work_oavbptqpunch5jy27k3m3zb5yi	596	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	597	1	Cambridge	Cambridge	NNP
work_oavbptqpunch5jy27k3m3zb5yi	597	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	597	3	Cambridge	Cambridge	NNP
work_oavbptqpunch5jy27k3m3zb5yi	597	4	University	University	NNP
work_oavbptqpunch5jy27k3m3zb5yi	597	5	Press	Press	NNP
work_oavbptqpunch5jy27k3m3zb5yi	597	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	598	1	Fang	Fang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	2	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	4	He	He	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	5	B	B	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	598	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	7	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	8	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	10	Dong	Dong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	11	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	13	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	14	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	16	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	17	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	19	Meng	Meng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	20	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	22	Zhong	Zhong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	23	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	25	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	26	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	598	28	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	29	H.	H.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	598	30	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	598	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	599	1	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	599	2	radiomics	radiomic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	599	3	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	599	4	help	help	VB
work_oavbptqpunch5jy27k3m3zb5yi	599	5	screen	screen	VB
work_oavbptqpunch5jy27k3m3zb5yi	599	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	599	7	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	599	8	disease	disease	NNP
work_oavbptqpunch5jy27k3m3zb5yi	599	9	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	599	10	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	599	11	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	599	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	599	13	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	599	14	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	599	15	preliminary	preliminary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	599	16	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	599	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	600	1	Science	Science	NNP
work_oavbptqpunch5jy27k3m3zb5yi	600	2	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	600	3	Information	Information	NNP
work_oavbptqpunch5jy27k3m3zb5yi	600	4	Sciences	Sciences	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	600	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	601	1	63(7):172103	63(7):172103	ADD
work_oavbptqpunch5jy27k3m3zb5yi	601	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	602	1	Girshick	Girshick	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	2	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	602	4	Donahue	Donahue	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	5	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	602	7	Darrell	Darrell	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	8	T	T	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	602	10	Malik	Malik	NNP
work_oavbptqpunch5jy27k3m3zb5yi	602	11	J.	J.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	603	1	2014	2014	CD
work_oavbptqpunch5jy27k3m3zb5yi	603	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	604	1	Rich	rich	JJ
work_oavbptqpunch5jy27k3m3zb5yi	604	2	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	604	3	hierarchies	hierarchie	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	604	4	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	604	5	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	604	6	object	object	NN
work_oavbptqpunch5jy27k3m3zb5yi	604	7	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	604	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	604	9	semantic	semantic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	604	10	segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	604	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	605	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	605	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	605	3	Proceedings	proceeding	NNS
work_oavbptqpunch5jy27k3m3zb5yi	605	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	605	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	605	6	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	605	7	conference	conference	NN
work_oavbptqpunch5jy27k3m3zb5yi	605	8	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	605	9	computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	605	10	vision	vision	NN
work_oavbptqpunch5jy27k3m3zb5yi	605	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	605	12	pattern	pattern	NN
work_oavbptqpunch5jy27k3m3zb5yi	605	13	recognition	recognition	NN
work_oavbptqpunch5jy27k3m3zb5yi	605	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	606	1	580–587	580–587	CD
work_oavbptqpunch5jy27k3m3zb5yi	606	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	607	1	Hancer	hancer	NN
work_oavbptqpunch5jy27k3m3zb5yi	607	2	E	E	NNP
work_oavbptqpunch5jy27k3m3zb5yi	607	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	607	4	Xue	Xue	NNP
work_oavbptqpunch5jy27k3m3zb5yi	607	5	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	607	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	607	7	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	607	8	M.	M.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	607	9	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	607	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	608	1	Differential	differential	JJ
work_oavbptqpunch5jy27k3m3zb5yi	608	2	evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	608	4	filter	filter	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	5	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	6	selection	selection	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	7	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	608	8	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	608	9	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	10	theory	theory	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	608	12	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	608	13	ranking	rank	VBG
work_oavbptqpunch5jy27k3m3zb5yi	608	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	609	1	Knowledge	knowledge	NN
work_oavbptqpunch5jy27k3m3zb5yi	609	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	609	3	Based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	609	4	Systems	Systems	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	609	5	140:103–119	140:103–119	CD
work_oavbptqpunch5jy27k3m3zb5yi	609	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	609	7	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	609	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	609	9	j.knosys.2017.10.028	j.knosys.2017.10.028	CD
work_oavbptqpunch5jy27k3m3zb5yi	609	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	610	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	610	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	610	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	610	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	610	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	610	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	610	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	610	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	610	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	610	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	611	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	611	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	611	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	611	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	611	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	10	27/30	27/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	611	11	http://dx.doi.org/10.3390/diagnostics10010027	http://dx.doi.org/10.3390/diagnostics10010027	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	12	http://dx.doi.org/10.1007/s10489-020-01714-3	http://dx.doi.org/10.1007/s10489-020-01714-3	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	13	http://dx.doi.org/10.1109/TFUZZ.91	http://dx.doi.org/10.1109/TFUZZ.91	NFP
work_oavbptqpunch5jy27k3m3zb5yi	611	14	http://dx.doi.org/10.1016/j.crad.2004.07.008	http://dx.doi.org/10.1016/j.crad.2004.07.008	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	15	http://dx.doi.org/10.1101/2020.02.25.20021568	http://dx.doi.org/10.1101/2020.02.25.20021568	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	611	16	http://dx.doi.org/10.1148/radiol.2020200230	http://dx.doi.org/10.1148/radiol.2020200230	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	17	http://dx.doi.org/10.1098/rsos.140216	http://dx.doi.org/10.1098/rsos.140216	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	18	http://dx.doi.org/10.1016/j.cmpb.2019.05.027	http://dx.doi.org/10.1016/j.cmpb.2019.05.027	DT
work_oavbptqpunch5jy27k3m3zb5yi	611	19	http://dx.doi.org/10.1109/RBME.4664312	http://dx.doi.org/10.1109/RBME.4664312	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	20	http://dx.doi.org/10.1016/j.knosys.2017.10.028	http://dx.doi.org/10.1016/j.knosys.2017.10.028	NN
work_oavbptqpunch5jy27k3m3zb5yi	611	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_oavbptqpunch5jy27k3m3zb5yi	611	22	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	611	23	Hansley	Hansley	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	24	EE	EE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	611	26	Segundo	Segundo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	27	MP	MP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	611	29	Sarkar	Sarkar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	30	S.	S.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	611	31	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	611	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	612	1	Employing	employ	VBG
work_oavbptqpunch5jy27k3m3zb5yi	612	2	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	612	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	612	4	learned	learn	VBN
work_oavbptqpunch5jy27k3m3zb5yi	612	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	612	6	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	612	7	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	612	8	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	612	9	unconstrained	unconstrained	JJ
work_oavbptqpunch5jy27k3m3zb5yi	612	10	ear	ear	NN
work_oavbptqpunch5jy27k3m3zb5yi	612	11	recognition	recognition	NN
work_oavbptqpunch5jy27k3m3zb5yi	612	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	613	1	IET	IET	NNP
work_oavbptqpunch5jy27k3m3zb5yi	613	2	Biometrics	Biometrics	NNP
work_oavbptqpunch5jy27k3m3zb5yi	613	3	7(3):215–223	7(3):215–223	CD
work_oavbptqpunch5jy27k3m3zb5yi	613	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	613	5	10.1049	10.1049	CD
work_oavbptqpunch5jy27k3m3zb5yi	613	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	613	7	iet	iet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	613	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	613	9	bmt.2017.0210	bmt.2017.0210	NNP
work_oavbptqpunch5jy27k3m3zb5yi	613	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	614	1	Haralick	Haralick	NNP
work_oavbptqpunch5jy27k3m3zb5yi	614	2	RM	RM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	614	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	614	4	Shanmugam	Shanmugam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	614	5	K	K	NNP
work_oavbptqpunch5jy27k3m3zb5yi	614	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	614	7	Dinstein	Dinstein	NNP
work_oavbptqpunch5jy27k3m3zb5yi	614	8	I.	I.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	615	1	1973	1973	CD
work_oavbptqpunch5jy27k3m3zb5yi	615	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	616	1	Textural	textural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	616	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	616	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	616	4	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	616	5	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	616	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	617	1	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	617	2	Transactions	transaction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	617	3	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	617	4	Systems	Systems	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	617	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	617	6	Man	Man	NNP
work_oavbptqpunch5jy27k3m3zb5yi	617	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	617	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	617	9	Cybernetics	cybernetic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	617	10	SMC-3(6):610–621	SMC-3(6):610–621	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	617	11	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	617	12	10.1109	10.1109	CD
work_oavbptqpunch5jy27k3m3zb5yi	617	13	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	617	14	TSMC.1973.4309314	TSMC.1973.4309314	NNP
work_oavbptqpunch5jy27k3m3zb5yi	617	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	618	1	Hasan	Hasan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	2	AM	am	NN
work_oavbptqpunch5jy27k3m3zb5yi	618	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	618	4	AL	AL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	618	6	Jawad	Jawad	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	7	MM	MM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	618	9	Jalab	Jalab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	10	HA	HA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	618	12	Shaiba	Shaiba	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	13	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	618	15	Ibrahim	Ibrahim	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	16	RW	RW	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	618	18	AL	AL	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	19	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	618	20	Shamasneh	Shamasneh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	21	AR	AR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	618	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	619	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	619	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	620	1	Classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	620	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	620	3	covid-19	covid-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	620	4	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	620	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	620	6	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	620	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	620	8	healthy	healthy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	620	9	lungs	lung	NNS
work_oavbptqpunch5jy27k3m3zb5yi	620	10	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	620	11	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	620	12	scans	scan	NNS
work_oavbptqpunch5jy27k3m3zb5yi	620	13	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	620	14	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	620	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	620	16	deformed	deform	VBN
work_oavbptqpunch5jy27k3m3zb5yi	620	17	entropy	entropy	JJ
work_oavbptqpunch5jy27k3m3zb5yi	620	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	620	19	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	620	20	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	620	21	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	620	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	621	1	Entropy	Entropy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	621	2	22(5):517	22(5):517	CD
work_oavbptqpunch5jy27k3m3zb5yi	621	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	621	4	10.3390	10.3390	CD
work_oavbptqpunch5jy27k3m3zb5yi	621	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	621	6	e22050517	e22050517	NN
work_oavbptqpunch5jy27k3m3zb5yi	621	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	622	1	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	622	2	X	X	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	622	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	622	4	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	5	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	622	7	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	8	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	622	10	Zhao	Zhao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	11	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	622	13	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	14	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	622	16	Xing	Xing	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	17	E	E	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	622	19	Xie	Xie	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	20	P.	P.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	622	21	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	622	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	623	1	Sample	sample	NN
work_oavbptqpunch5jy27k3m3zb5yi	623	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	623	3	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	623	4	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	623	5	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	623	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	623	7	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	623	8	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	623	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	623	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	623	11	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	623	12	scans	scan	NNS
work_oavbptqpunch5jy27k3m3zb5yi	623	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	624	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	624	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	624	3	10.1101/2020.04.13.20063941	10.1101/2020.04.13.20063941	CD
work_oavbptqpunch5jy27k3m3zb5yi	624	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	625	1	He	-PRON-	PRP
work_oavbptqpunch5jy27k3m3zb5yi	625	2	K	K	NNP
work_oavbptqpunch5jy27k3m3zb5yi	625	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	625	4	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	625	5	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	625	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	625	7	Ren	Ren	NNP
work_oavbptqpunch5jy27k3m3zb5yi	625	8	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	625	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	625	10	Sun	Sun	NNP
work_oavbptqpunch5jy27k3m3zb5yi	625	11	J.	J.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	626	1	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	626	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	627	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	627	2	residual	residual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	627	3	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	627	4	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	627	5	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	627	6	recognition	recognition	NN
work_oavbptqpunch5jy27k3m3zb5yi	627	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	628	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	628	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	628	3	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	628	4	Conference	Conference	NNP
work_oavbptqpunch5jy27k3m3zb5yi	628	5	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	628	6	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	628	7	Vision	Vision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	628	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	628	9	Pattern	Pattern	NNP
work_oavbptqpunch5jy27k3m3zb5yi	628	10	Recognition	Recognition	NNP
work_oavbptqpunch5jy27k3m3zb5yi	628	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	629	1	770–778	770–778	CD
work_oavbptqpunch5jy27k3m3zb5yi	629	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	630	1	Iwasawa	Iwasawa	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	2	T	T	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	4	Sato	Sato	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	5	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	7	Yamaya	Yamaya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	8	T	T	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	10	Sato	Sato	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	11	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	13	Uchida	Uchida	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	14	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	16	Kitamura	Kitamura	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	17	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	19	Hagiwara	Hagiwara	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	20	E	E	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	22	Komatsu	Komatsu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	23	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	25	Utsunomiya	Utsunomiya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	26	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	630	28	Ogura	Ogura	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	29	T.	T.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	630	30	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	630	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	631	1	Ultra	ultra	JJ
work_oavbptqpunch5jy27k3m3zb5yi	631	2	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	631	3	high	high	JJ
work_oavbptqpunch5jy27k3m3zb5yi	631	4	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	631	5	resolution	resolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	631	6	computed	compute	VBN
work_oavbptqpunch5jy27k3m3zb5yi	631	7	tomography	tomography	NN
work_oavbptqpunch5jy27k3m3zb5yi	631	8	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	631	9	demonstrate	demonstrate	VB
work_oavbptqpunch5jy27k3m3zb5yi	631	10	alveolar	alveolar	JJ
work_oavbptqpunch5jy27k3m3zb5yi	631	11	collapse	collapse	NN
work_oavbptqpunch5jy27k3m3zb5yi	631	12	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	631	13	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	631	14	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	631	15	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	631	16	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	631	17	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	631	18	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	631	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	632	1	Japanese	Japanese	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	2	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	632	4	Radiology	Radiology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	5	38(5):394–398	38(5):394–398	CD
work_oavbptqpunch5jy27k3m3zb5yi	632	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	7	10.1007	10.1007	CD
work_oavbptqpunch5jy27k3m3zb5yi	632	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	632	9	s11604	s11604	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	632	11	020	020	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	632	13	00956-y	00956-y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	632	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	633	1	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	2	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	4	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	5	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	7	Cao	Cao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	8	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	10	Xu	Xu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	11	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	13	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	14	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	16	Deng	Deng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	17	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	19	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	20	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	22	Zhou	Zhou	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	23	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	25	Shi	Shi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	26	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	633	28	Feng	Feng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	633	29	J.	J.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	634	1	2020a	2020a	CD
work_oavbptqpunch5jy27k3m3zb5yi	634	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	635	1	Development	development	NN
work_oavbptqpunch5jy27k3m3zb5yi	635	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	635	3	evaluation	evaluation	NN
work_oavbptqpunch5jy27k3m3zb5yi	635	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	635	5	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	635	6	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	635	7	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	635	8	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	635	9	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	635	10	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	635	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	636	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	636	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	636	3	10.1101/2020.03.20.20039834	10.1101/2020.03.20.20039834	CD
work_oavbptqpunch5jy27k3m3zb5yi	636	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	637	1	Jin	Jin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	2	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	4	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	5	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	7	Xu	Xu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	8	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	10	Luo	Luo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	11	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	13	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	14	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	16	Zhao	Zhao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	17	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	19	Hou	Hou	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	20	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	22	Ma	Ma	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	23	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	25	Xu	Xu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	26	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	637	28	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	637	29	Z.	Z.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	638	1	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	638	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	639	1	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	639	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	639	3	assisted	assist	VBN
work_oavbptqpunch5jy27k3m3zb5yi	639	4	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	639	5	imaging	image	VBG
work_oavbptqpunch5jy27k3m3zb5yi	639	6	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	639	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	639	8	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	639	9	screening	screening	NN
work_oavbptqpunch5jy27k3m3zb5yi	639	10	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	639	11	Building	building	NN
work_oavbptqpunch5jy27k3m3zb5yi	639	12	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	639	13	deploying	deploy	VBG
work_oavbptqpunch5jy27k3m3zb5yi	639	14	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	639	15	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	639	16	AI	ai	NN
work_oavbptqpunch5jy27k3m3zb5yi	639	17	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	639	18	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	639	19	four	four	CD
work_oavbptqpunch5jy27k3m3zb5yi	639	20	weeks	week	NNS
work_oavbptqpunch5jy27k3m3zb5yi	639	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	640	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	640	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	640	3	10.1101/2020.03.19.20039354	10.1101/2020.03.19.20039354	CD
work_oavbptqpunch5jy27k3m3zb5yi	640	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	641	1	Karthikesalingam	Karthikesalingam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	2	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	4	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	5	O	O	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	7	Ma	Ma	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	8	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	10	Bahia	Bahia	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	11	SS	SS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	13	Thompson	Thompson	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	14	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	16	Vidal	Vidal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	641	18	Diez	Diez	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	19	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	21	Choke	Choke	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	22	EC	EC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	24	Bown	Bown	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	25	MJ	MJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	27	Sayers	Sayers	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	28	RD	RD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	641	30	Thompson	Thompson	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	31	MM	MM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	641	32	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	642	1	2015	2015	CD
work_oavbptqpunch5jy27k3m3zb5yi	642	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	643	1	An	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	643	2	artificial	artificial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	643	3	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	643	4	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	643	5	stratifies	stratify	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	643	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	643	7	risks	risk	NNS
work_oavbptqpunch5jy27k3m3zb5yi	643	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	643	9	Reintervention	reintervention	NN
work_oavbptqpunch5jy27k3m3zb5yi	643	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	643	11	mortality	mortality	NN
work_oavbptqpunch5jy27k3m3zb5yi	643	12	after	after	IN
work_oavbptqpunch5jy27k3m3zb5yi	643	13	endovascular	endovascular	JJ
work_oavbptqpunch5jy27k3m3zb5yi	643	14	aneurysm	aneurysm	NNS
work_oavbptqpunch5jy27k3m3zb5yi	643	15	repair	repair	VBP
work_oavbptqpunch5jy27k3m3zb5yi	643	16	;	;	:
work_oavbptqpunch5jy27k3m3zb5yi	643	17	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	643	18	retrospective	retrospective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	643	19	observational	observational	JJ
work_oavbptqpunch5jy27k3m3zb5yi	643	20	study	study	NN
work_oavbptqpunch5jy27k3m3zb5yi	643	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	644	1	PLOS	PLOS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	644	2	ONE	one	CD
work_oavbptqpunch5jy27k3m3zb5yi	644	3	10(7):e0129024	10(7):e0129024	CD
work_oavbptqpunch5jy27k3m3zb5yi	644	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	644	5	10.1371	10.1371	CD
work_oavbptqpunch5jy27k3m3zb5yi	644	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	644	7	journal.pone.0129024	journal.pone.0129024	NNP
work_oavbptqpunch5jy27k3m3zb5yi	644	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	645	1	Kassner	Kassner	NNP
work_oavbptqpunch5jy27k3m3zb5yi	645	2	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	645	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	645	4	Thornhill	Thornhill	NNP
work_oavbptqpunch5jy27k3m3zb5yi	645	5	RE	RE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	645	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	646	1	2010	2010	CD
work_oavbptqpunch5jy27k3m3zb5yi	646	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	647	1	Texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	647	2	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	647	3	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	647	4	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	647	5	review	review	NN
work_oavbptqpunch5jy27k3m3zb5yi	647	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	647	7	neurologic	neurologic	NNP
work_oavbptqpunch5jy27k3m3zb5yi	647	8	MR	MR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	647	9	imaging	imaging	NN
work_oavbptqpunch5jy27k3m3zb5yi	647	10	applications	application	NNS
work_oavbptqpunch5jy27k3m3zb5yi	647	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	648	1	American	American	NNP
work_oavbptqpunch5jy27k3m3zb5yi	648	2	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	648	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	648	4	Neuroradiology	Neuroradiology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	648	5	31(5):809–816	31(5):809–816	CD
work_oavbptqpunch5jy27k3m3zb5yi	648	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	648	7	10.3174	10.3174	CD
work_oavbptqpunch5jy27k3m3zb5yi	648	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	648	9	ajnr	ajnr	NNP
work_oavbptqpunch5jy27k3m3zb5yi	648	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	648	11	A2061	A2061	NNP
work_oavbptqpunch5jy27k3m3zb5yi	648	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	649	1	Ke	Ke	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	2	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	649	4	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	5	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	649	7	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	8	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	649	10	Po1ap	po1ap	NN
work_oavbptqpunch5jy27k3m3zb5yi	649	11	D	d	NN
work_oavbptqpunch5jy27k3m3zb5yi	649	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	649	13	Woźniak	Woźniak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	14	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	649	16	Kośmider	Kośmider	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	17	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	649	19	Damaševĭcius	Damaševĭcius	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	20	R.	R.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	649	21	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	649	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	650	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	650	2	neuro	neuro	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	650	4	heuristic	heuristic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	650	5	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	650	7	recognition	recognition	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	8	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	650	9	lung	lung	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	10	diseases	disease	NNS
work_oavbptqpunch5jy27k3m3zb5yi	650	11	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	650	12	X	x	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	13	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	14	ray	ray	NN
work_oavbptqpunch5jy27k3m3zb5yi	650	15	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	650	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	651	1	Expert	expert	NN
work_oavbptqpunch5jy27k3m3zb5yi	651	2	Systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	651	3	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	651	4	Applications	Applications	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	651	5	126:218–232	126:218–232	CD
work_oavbptqpunch5jy27k3m3zb5yi	651	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	652	1	Kolossváry	Kolossváry	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	2	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	652	4	Karády	Karády	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	5	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	652	7	Szilveszter	Szilveszter	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	8	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	652	10	Kitslaar	Kitslaar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	11	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	652	13	Hoffmann	Hoffmann	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	14	U	U	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	652	16	Merkely	Merkely	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	17	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	652	19	Maurovich	Maurovich	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	652	21	Horvat	Horvat	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	22	P.	P.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	652	23	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	652	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	653	1	Radiomic	radiomic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	2	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	653	3	are	be	VBP
work_oavbptqpunch5jy27k3m3zb5yi	653	4	superior	superior	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	5	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	653	6	conventional	conventional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	7	quantitative	quantitative	NN
work_oavbptqpunch5jy27k3m3zb5yi	653	8	computed	compute	VBN
work_oavbptqpunch5jy27k3m3zb5yi	653	9	tomographic	tomographic	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	10	metrics	metric	NNS
work_oavbptqpunch5jy27k3m3zb5yi	653	11	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	653	12	identify	identify	VB
work_oavbptqpunch5jy27k3m3zb5yi	653	13	coronary	coronary	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	14	plaques	plaque	NNS
work_oavbptqpunch5jy27k3m3zb5yi	653	15	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	653	16	napkin	napkin	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	17	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	653	18	ring	ring	NN
work_oavbptqpunch5jy27k3m3zb5yi	653	19	sign	sign	NN
work_oavbptqpunch5jy27k3m3zb5yi	653	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	654	1	Circulation	circulation	NN
work_oavbptqpunch5jy27k3m3zb5yi	654	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	654	3	Cardiovascular	Cardiovascular	NNP
work_oavbptqpunch5jy27k3m3zb5yi	654	4	Imaging	Imaging	NNP
work_oavbptqpunch5jy27k3m3zb5yi	654	5	10	10	CD
work_oavbptqpunch5jy27k3m3zb5yi	654	6	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	654	7	e006843	e006843	JJ
work_oavbptqpunch5jy27k3m3zb5yi	654	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	655	1	Krizhevsky	Krizhevsky	NNP
work_oavbptqpunch5jy27k3m3zb5yi	655	2	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	655	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	655	4	Sutskever	Sutskever	NNP
work_oavbptqpunch5jy27k3m3zb5yi	655	5	I	I	NNP
work_oavbptqpunch5jy27k3m3zb5yi	655	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	655	7	Hinton	Hinton	NNP
work_oavbptqpunch5jy27k3m3zb5yi	655	8	GE	GE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	655	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	656	1	2012	2012	CD
work_oavbptqpunch5jy27k3m3zb5yi	656	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	657	1	Imagenet	imagenet	NN
work_oavbptqpunch5jy27k3m3zb5yi	657	2	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	657	3	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	657	4	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	657	5	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	657	6	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	657	7	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	657	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	658	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	658	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	658	3	Advances	advance	NNS
work_oavbptqpunch5jy27k3m3zb5yi	658	4	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	658	5	Neural	Neural	NNP
work_oavbptqpunch5jy27k3m3zb5yi	658	6	Information	Information	NNP
work_oavbptqpunch5jy27k3m3zb5yi	658	7	Processing	Processing	NNP
work_oavbptqpunch5jy27k3m3zb5yi	658	8	Systems	Systems	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	658	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	658	10	Toronto	Toronto	NNP
work_oavbptqpunch5jy27k3m3zb5yi	658	11	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	658	12	University	University	NNP
work_oavbptqpunch5jy27k3m3zb5yi	658	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	658	14	Toronto	Toronto	NNP
work_oavbptqpunch5jy27k3m3zb5yi	658	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	658	16	1097–1105	1097–1105	CD
work_oavbptqpunch5jy27k3m3zb5yi	658	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	659	1	Lahmiri	Lahmiri	NNP
work_oavbptqpunch5jy27k3m3zb5yi	659	2	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	659	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	659	4	Boukadoum	Boukadoum	NNP
work_oavbptqpunch5jy27k3m3zb5yi	659	5	M.	M.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	659	6	2013	2013	CD
work_oavbptqpunch5jy27k3m3zb5yi	659	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	660	1	Hybrid	hybrid	JJ
work_oavbptqpunch5jy27k3m3zb5yi	660	2	discrete	discrete	JJ
work_oavbptqpunch5jy27k3m3zb5yi	660	3	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	660	4	transform	transform	NN
work_oavbptqpunch5jy27k3m3zb5yi	660	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	660	6	gabor	gabor	NN
work_oavbptqpunch5jy27k3m3zb5yi	660	7	filter	filter	NN
work_oavbptqpunch5jy27k3m3zb5yi	660	8	banks	bank	NNS
work_oavbptqpunch5jy27k3m3zb5yi	660	9	processing	process	VBG
work_oavbptqpunch5jy27k3m3zb5yi	660	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	660	11	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	660	12	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	660	13	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	660	14	biomedical	biomedical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	660	15	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	660	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	661	1	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	661	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	661	3	Medical	Medical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	661	4	Engineering	Engineering	NNP
work_oavbptqpunch5jy27k3m3zb5yi	661	5	2013(7):1–13	2013(7):1–13	NNP
work_oavbptqpunch5jy27k3m3zb5yi	661	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	661	7	10.1155/2013/104684	10.1155/2013/104684	NNS
work_oavbptqpunch5jy27k3m3zb5yi	661	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	662	1	Lambin	Lambin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	2	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	4	Rios	Rios	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	662	6	Velazquez	Velazquez	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	7	E	E	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	9	Leijenaar	Leijenaar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	10	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	12	Carvalho	Carvalho	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	13	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	15	Van	Van	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	16	Stiphout	Stiphout	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	17	RG	RG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	19	Granton	Granton	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	20	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	22	Zegers	Zegers	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	23	CM	CM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	25	Gillies	Gillies	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	662	26	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	28	Boellard	Boellard	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	29	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	662	31	Dekker	Dekker	NNP
work_oavbptqpunch5jy27k3m3zb5yi	662	32	A.	A.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	663	1	2012	2012	CD
work_oavbptqpunch5jy27k3m3zb5yi	663	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	664	1	Radiomics	radiomic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	664	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	664	3	extracting	extract	VBG
work_oavbptqpunch5jy27k3m3zb5yi	664	4	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	664	5	information	information	NN
work_oavbptqpunch5jy27k3m3zb5yi	664	6	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	664	7	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	664	8	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	664	9	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	664	10	advanced	advanced	JJ
work_oavbptqpunch5jy27k3m3zb5yi	664	11	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	664	12	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	664	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	665	1	European	European	NNP
work_oavbptqpunch5jy27k3m3zb5yi	665	2	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	665	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	665	4	Cancer	Cancer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	665	5	48(4):441–446	48(4):441–446	CD
work_oavbptqpunch5jy27k3m3zb5yi	665	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	665	7	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	665	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	665	9	j.ejca.2011.11.036	j.ejca.2011.11.036	CD
work_oavbptqpunch5jy27k3m3zb5yi	665	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	666	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	666	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	666	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	666	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	666	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	666	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	666	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	666	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	666	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	666	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	667	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	667	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	667	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	667	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	667	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	10	28/30	28/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	667	11	http://dx.doi.org/10.1049/iet-bmt.2017.0210	http://dx.doi.org/10.1049/iet-bmt.2017.0210	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	12	http://dx.doi.org/10.1109/TSMC.1973.4309314	http://dx.doi.org/10.1109/TSMC.1973.4309314	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	13	http://dx.doi.org/10.3390/e22050517	http://dx.doi.org/10.3390/e22050517	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	14	http://dx.doi.org/10.1101/2020.04.13.20063941	http://dx.doi.org/10.1101/2020.04.13.20063941	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	15	http://dx.doi.org/10.1007/s11604-020-00956-y	http://dx.doi.org/10.1007/s11604-020-00956-y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	16	http://dx.doi.org/10.1101/2020.03.20.20039834	http://dx.doi.org/10.1101/2020.03.20.20039834	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	17	http://dx.doi.org/10.1101/2020.03.19.20039354	http://dx.doi.org/10.1101/2020.03.19.20039354	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	18	http://dx.doi.org/10.1371/journal.pone.0129024	http://dx.doi.org/10.1371/journal.pone.0129024	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	19	http://dx.doi.org/10.3174/ajnr.A2061	http://dx.doi.org/10.3174/ajnr.A2061	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	20	http://dx.doi.org/10.1155/2013/104684	http://dx.doi.org/10.1155/2013/104684	ADD
work_oavbptqpunch5jy27k3m3zb5yi	667	21	http://dx.doi.org/10.1016/j.ejca.2011.11.036	http://dx.doi.org/10.1016/j.ejca.2011.11.036	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	22	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	23	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	667	24	Lei	Lei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	25	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	667	27	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	28	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	29	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	667	30	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	31	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	32	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	667	33	Qi	Qi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	667	34	X.	X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	668	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	668	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	669	1	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	669	2	imaging	imaging	NN
work_oavbptqpunch5jy27k3m3zb5yi	669	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	669	4	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	669	5	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	669	6	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	669	7	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	669	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	669	9	2019-nCoV	2019-ncov	CD
work_oavbptqpunch5jy27k3m3zb5yi	669	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	669	11	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	669	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	670	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	670	2	295(1):18	295(1):18	CD
work_oavbptqpunch5jy27k3m3zb5yi	670	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	670	4	10.1148	10.1148	CD
work_oavbptqpunch5jy27k3m3zb5yi	670	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	670	6	radiol.2020200236	radiol.2020200236	NNP
work_oavbptqpunch5jy27k3m3zb5yi	670	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	671	1	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	2	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	4	Qin	Qin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	5	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	7	Xu	Xu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	8	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	10	Yin	Yin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	11	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	13	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	14	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	16	Kong	Kong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	17	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	19	Bai	Bai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	20	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	22	Lu	Lu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	23	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	25	Fang	Fang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	26	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	671	28	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	671	29	Q.	Q.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	672	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	672	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	673	1	Artificial	artificial	JJ
work_oavbptqpunch5jy27k3m3zb5yi	673	2	intelligence	intelligence	NN
work_oavbptqpunch5jy27k3m3zb5yi	673	3	distinguishes	distinguish	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	673	4	covid-19	covid-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	673	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	673	6	community	community	NN
work_oavbptqpunch5jy27k3m3zb5yi	673	7	acquired	acquire	VBD
work_oavbptqpunch5jy27k3m3zb5yi	673	8	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	673	9	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	673	10	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	673	11	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	673	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	673	13	Epub	Epub	NNP
work_oavbptqpunch5jy27k3m3zb5yi	673	14	ahead	ahead	RB
work_oavbptqpunch5jy27k3m3zb5yi	673	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	673	16	print	print	NN
work_oavbptqpunch5jy27k3m3zb5yi	673	17	19	19	CD
work_oavbptqpunch5jy27k3m3zb5yi	673	18	March	March	NNP
work_oavbptqpunch5jy27k3m3zb5yi	673	19	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	673	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	674	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	674	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	674	3	10.1148	10.1148	CD
work_oavbptqpunch5jy27k3m3zb5yi	674	4	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	674	5	radiol.2020200905	radiol.2020200905	NN
work_oavbptqpunch5jy27k3m3zb5yi	674	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	675	1	M.Pizer	M.Pizer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	2	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	4	Amburn	Amburn	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	5	EP	EP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	7	DAustin	DAustin	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	8	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	10	Cromartie	Cromartie	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	11	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	13	Geselowitz	Geselowitz	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	14	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	16	Greer	Greer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	17	T	T	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	19	Ter	Ter	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	20	Haar	Haar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	21	Romeny	Romeny	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	22	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	23	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	24	Zimmerman	Zimmerman	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	25	JB	JB	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	26	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	675	27	Zuiderveld	Zuiderveld	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	28	K.	K.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	675	29	1987	1987	CD
work_oavbptqpunch5jy27k3m3zb5yi	675	30	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	676	1	Adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	676	2	histogram	histogram	NN
work_oavbptqpunch5jy27k3m3zb5yi	676	3	equalization	equalization	NN
work_oavbptqpunch5jy27k3m3zb5yi	676	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	676	5	its	-PRON-	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	676	6	variations	variation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	676	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	677	1	Computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	677	2	Vision	Vision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	677	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	677	4	Graphics	Graphics	NNP
work_oavbptqpunch5jy27k3m3zb5yi	677	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	677	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	677	7	Image	Image	NNP
work_oavbptqpunch5jy27k3m3zb5yi	677	8	Processing	Processing	NNP
work_oavbptqpunch5jy27k3m3zb5yi	677	9	39(3):355–368	39(3):355–368	CD
work_oavbptqpunch5jy27k3m3zb5yi	677	10	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	677	11	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	677	12	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	677	13	S0734	S0734	NNP
work_oavbptqpunch5jy27k3m3zb5yi	677	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	677	15	189X(87)80186-X.	189X(87)80186-X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	678	1	Mallat	Mallat	NNP
work_oavbptqpunch5jy27k3m3zb5yi	678	2	SG	SG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	678	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	679	1	1989	1989	CD
work_oavbptqpunch5jy27k3m3zb5yi	679	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	680	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	680	2	theory	theory	NN
work_oavbptqpunch5jy27k3m3zb5yi	680	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	680	4	multiresolution	multiresolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	680	5	signal	signal	NN
work_oavbptqpunch5jy27k3m3zb5yi	680	6	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	680	7	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	680	8	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	680	9	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	680	10	representation	representation	NN
work_oavbptqpunch5jy27k3m3zb5yi	680	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	681	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	681	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	681	3	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	681	4	Transactions	transaction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	681	5	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	681	6	Pattern	Pattern	NNP
work_oavbptqpunch5jy27k3m3zb5yi	681	7	Analysis	Analysis	NNP
work_oavbptqpunch5jy27k3m3zb5yi	681	8	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	681	9	Machine	Machine	NNP
work_oavbptqpunch5jy27k3m3zb5yi	681	10	Intelligence	Intelligence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	681	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	682	1	674–963	674–963	CD
work_oavbptqpunch5jy27k3m3zb5yi	682	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	683	1	Nailon	Nailon	NNP
work_oavbptqpunch5jy27k3m3zb5yi	683	2	WH	WH	NNP
work_oavbptqpunch5jy27k3m3zb5yi	683	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	684	1	2010	2010	CD
work_oavbptqpunch5jy27k3m3zb5yi	684	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	685	1	Texture	texture	NN
work_oavbptqpunch5jy27k3m3zb5yi	685	2	analysis	analysis	NN
work_oavbptqpunch5jy27k3m3zb5yi	685	3	methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	685	4	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	685	5	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	685	6	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	685	7	characterisation	characterisation	NN
work_oavbptqpunch5jy27k3m3zb5yi	685	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	686	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	686	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	686	3	Biomedical	Biomedical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	686	4	Imaging	Imaging	NNP
work_oavbptqpunch5jy27k3m3zb5yi	686	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	687	1	London	London	NNP
work_oavbptqpunch5jy27k3m3zb5yi	687	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	687	3	Intech	Intech	NNP
work_oavbptqpunch5jy27k3m3zb5yi	687	4	Publishing	Publishing	NNP
work_oavbptqpunch5jy27k3m3zb5yi	687	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	688	1	Nanni	Nanni	NNP
work_oavbptqpunch5jy27k3m3zb5yi	688	2	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	688	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	688	4	Ghidoni	Ghidoni	NNP
work_oavbptqpunch5jy27k3m3zb5yi	688	5	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	688	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	688	7	Brahnam	Brahnam	NNP
work_oavbptqpunch5jy27k3m3zb5yi	688	8	S.	S.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	688	9	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	688	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	689	1	Handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	689	2	vs.	vs.	IN
work_oavbptqpunch5jy27k3m3zb5yi	689	3	non	non	JJ
work_oavbptqpunch5jy27k3m3zb5yi	689	4	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	689	5	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	689	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	689	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	689	8	computer	computer	NN
work_oavbptqpunch5jy27k3m3zb5yi	689	9	vision	vision	NN
work_oavbptqpunch5jy27k3m3zb5yi	689	10	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	689	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	690	1	Pattern	Pattern	NNP
work_oavbptqpunch5jy27k3m3zb5yi	690	2	Recognition	Recognition	NNP
work_oavbptqpunch5jy27k3m3zb5yi	690	3	71:158–172	71:158–172	CD
work_oavbptqpunch5jy27k3m3zb5yi	690	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	690	5	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	690	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	690	7	j.patcog.2017.05.025	j.patcog.2017.05.025	NNP
work_oavbptqpunch5jy27k3m3zb5yi	690	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	691	1	Nguyen	Nguyen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	2	DT	DT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	691	4	Pham	Pham	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	5	TD	TD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	691	7	Baek	Baek	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	8	NR	NR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	691	10	Park	Park	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	11	KR	KR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	691	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	692	1	2018	2018	CD
work_oavbptqpunch5jy27k3m3zb5yi	692	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	693	1	Combining	combine	VBG
work_oavbptqpunch5jy27k3m3zb5yi	693	2	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	693	3	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	693	4	handcrafted	handcrafted	JJ
work_oavbptqpunch5jy27k3m3zb5yi	693	5	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	6	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	693	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	693	8	presentation	presentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	9	attack	attack	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	10	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	11	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	693	12	face	face	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	13	recognition	recognition	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	14	systems	system	NNS
work_oavbptqpunch5jy27k3m3zb5yi	693	15	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	693	16	visible	visible	JJ
work_oavbptqpunch5jy27k3m3zb5yi	693	17	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	693	18	light	light	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	19	camera	camera	NN
work_oavbptqpunch5jy27k3m3zb5yi	693	20	sensors	sensor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	693	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	694	1	Sensors	sensor	NNS
work_oavbptqpunch5jy27k3m3zb5yi	694	2	18(3):699	18(3):699	CD
work_oavbptqpunch5jy27k3m3zb5yi	694	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	694	4	10.3390	10.3390	CD
work_oavbptqpunch5jy27k3m3zb5yi	694	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	694	6	s18030699	s18030699	NNP
work_oavbptqpunch5jy27k3m3zb5yi	694	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	695	1	Panwar	panwar	JJ
work_oavbptqpunch5jy27k3m3zb5yi	695	2	H	h	NN
work_oavbptqpunch5jy27k3m3zb5yi	695	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	695	4	Gupta	Gupta	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	5	PK	PK	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	695	7	Siddiqui	Siddiqui	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	8	MK	MK	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	695	10	Morales	Morales	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	11	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	695	12	Menendez	Menendez	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	13	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	695	15	Bhardwaj	Bhardwaj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	16	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	695	18	Singh	Singh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	19	V.	V.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	695	20	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	695	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	696	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	696	2	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	696	3	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	696	5	grad	grad	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	6	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	696	7	CAM	cam	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	8	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	696	9	color	color	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	10	visualization	visualization	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	11	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	12	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	696	13	fast	fast	JJ
work_oavbptqpunch5jy27k3m3zb5yi	696	14	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	15	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	696	16	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	696	17	cases	case	NNS
work_oavbptqpunch5jy27k3m3zb5yi	696	18	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	696	19	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	20	X	x	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	21	-	-	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	22	ray	ray	NN
work_oavbptqpunch5jy27k3m3zb5yi	696	23	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	696	24	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	696	25	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	696	26	scan	scan	JJ
work_oavbptqpunch5jy27k3m3zb5yi	696	27	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	696	28	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	697	1	Chaos	Chaos	NNP
work_oavbptqpunch5jy27k3m3zb5yi	697	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	697	3	Solitons	Solitons	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	697	4	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	697	5	Fractals	Fractals	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	697	6	140:110190	140:110190	NNP
work_oavbptqpunch5jy27k3m3zb5yi	697	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	698	1	Pathak	Pathak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	698	2	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	698	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	698	4	Shukla	Shukla	NNP
work_oavbptqpunch5jy27k3m3zb5yi	698	5	PK	PK	NNP
work_oavbptqpunch5jy27k3m3zb5yi	698	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	698	7	Arya	Arya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	698	8	KV	KV	NNP
work_oavbptqpunch5jy27k3m3zb5yi	698	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	699	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	699	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	700	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	700	2	bidirectional	bidirectional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	700	3	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	700	4	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	700	5	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	700	6	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	700	7	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	700	8	infected	infect	VBD
work_oavbptqpunch5jy27k3m3zb5yi	700	9	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	700	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	701	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	701	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	701	3	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	701	4	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	701	5	ACM	ACM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	701	6	Transactions	Transactions	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	701	7	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	701	8	Computational	Computational	NNP
work_oavbptqpunch5jy27k3m3zb5yi	701	9	Biology	Biology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	701	10	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	701	11	Bioinformatic	Bioinformatic	NNP
work_oavbptqpunch5jy27k3m3zb5yi	701	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	702	1	Paules	Paules	NNP
work_oavbptqpunch5jy27k3m3zb5yi	702	2	CI	CI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	702	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	702	4	Marston	Marston	NNP
work_oavbptqpunch5jy27k3m3zb5yi	702	5	HD	HD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	702	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	702	7	Fauci	Fauci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	702	8	AS	AS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	702	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	703	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	703	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	704	1	Coronavirus	Coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	704	2	infections	infection	NNS
work_oavbptqpunch5jy27k3m3zb5yi	704	3	—	—	:
work_oavbptqpunch5jy27k3m3zb5yi	704	4	more	more	JJR
work_oavbptqpunch5jy27k3m3zb5yi	704	5	than	than	IN
work_oavbptqpunch5jy27k3m3zb5yi	704	6	just	just	RB
work_oavbptqpunch5jy27k3m3zb5yi	704	7	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	704	8	common	common	JJ
work_oavbptqpunch5jy27k3m3zb5yi	704	9	cold	cold	NN
work_oavbptqpunch5jy27k3m3zb5yi	704	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	705	1	JAMA	JAMA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	705	2	323(8):707–708	323(8):707–708	CD
work_oavbptqpunch5jy27k3m3zb5yi	705	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	705	4	10.1001	10.1001	CD
work_oavbptqpunch5jy27k3m3zb5yi	705	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	705	6	jama.2020.0757	jama.2020.0757	NNP
work_oavbptqpunch5jy27k3m3zb5yi	705	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	706	1	Pisano	Pisano	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	2	ED	ED	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	4	Zong	Zong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	5	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	7	Hemminger	Hemminger	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	8	BM	BM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	10	DeLuca	DeLuca	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	11	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	13	Johnston	Johnston	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	14	RE	RE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	16	Muller	Muller	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	17	K	K	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	19	Braeuning	Braeuning	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	20	MP	MP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	706	22	Pizer	Pizer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	23	SM	SM	NNP
work_oavbptqpunch5jy27k3m3zb5yi	706	24	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	707	1	1998	1998	CD
work_oavbptqpunch5jy27k3m3zb5yi	707	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	708	1	Contrast	contrast	NN
work_oavbptqpunch5jy27k3m3zb5yi	708	2	limited	limited	JJ
work_oavbptqpunch5jy27k3m3zb5yi	708	3	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	708	4	histogram	histogram	NN
work_oavbptqpunch5jy27k3m3zb5yi	708	5	equalization	equalization	NN
work_oavbptqpunch5jy27k3m3zb5yi	708	6	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	708	7	processing	processing	NN
work_oavbptqpunch5jy27k3m3zb5yi	708	8	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	708	9	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	708	10	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	708	11	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	708	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	708	13	simulated	simulated	JJ
work_oavbptqpunch5jy27k3m3zb5yi	708	14	spiculations	spiculation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	708	15	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	708	16	dense	dense	JJ
work_oavbptqpunch5jy27k3m3zb5yi	708	17	mammograms	mammogram	NNS
work_oavbptqpunch5jy27k3m3zb5yi	708	18	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	709	1	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	709	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	709	3	Digital	Digital	NNP
work_oavbptqpunch5jy27k3m3zb5yi	709	4	Imaging	Imaging	NNP
work_oavbptqpunch5jy27k3m3zb5yi	709	5	11(4):193–200	11(4):193–200	CD
work_oavbptqpunch5jy27k3m3zb5yi	709	6	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	709	7	10.1007	10.1007	CD
work_oavbptqpunch5jy27k3m3zb5yi	709	8	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	709	9	BF03178082	bf03178082	NN
work_oavbptqpunch5jy27k3m3zb5yi	709	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	710	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	710	2	DA	DA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	710	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	710	4	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	710	5	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	710	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	710	7	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	710	8	O.	O.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	711	1	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	711	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	712	1	Breast	breast	NN
work_oavbptqpunch5jy27k3m3zb5yi	712	2	cancer	cancer	NN
work_oavbptqpunch5jy27k3m3zb5yi	712	3	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	712	4	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	712	5	an	an	DT
work_oavbptqpunch5jy27k3m3zb5yi	712	6	efficient	efficient	JJ
work_oavbptqpunch5jy27k3m3zb5yi	712	7	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	712	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	712	9	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	712	10	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	712	11	multiple	multiple	JJ
work_oavbptqpunch5jy27k3m3zb5yi	712	12	classifiers	classifier	NNS
work_oavbptqpunch5jy27k3m3zb5yi	712	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	713	1	Diagnostics	diagnostic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	713	2	9(4):165	9(4):165	CD
work_oavbptqpunch5jy27k3m3zb5yi	713	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	714	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	2	DA	DA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	714	4	Sharkas	Sharkas	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	5	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	714	7	Marshall	Marshall	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	8	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	714	10	Ren	Ren	NNP
work_oavbptqpunch5jy27k3m3zb5yi	714	11	J.	J.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	715	1	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	715	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	716	1	Breast	breast	NN
work_oavbptqpunch5jy27k3m3zb5yi	716	2	cancer	cancer	NN
work_oavbptqpunch5jy27k3m3zb5yi	716	3	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	716	4	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	716	5	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	716	6	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	716	7	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	716	8	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	716	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	716	10	support	support	NN
work_oavbptqpunch5jy27k3m3zb5yi	716	11	vector	vector	NN
work_oavbptqpunch5jy27k3m3zb5yi	716	12	machines	machine	NNS
work_oavbptqpunch5jy27k3m3zb5yi	716	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	717	1	PeerJ	peerj	NN
work_oavbptqpunch5jy27k3m3zb5yi	717	2	7(5):e6201	7(5):e6201	CD
work_oavbptqpunch5jy27k3m3zb5yi	717	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	717	4	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	717	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	717	6	peerj.6201	peerj.6201	JJ
work_oavbptqpunch5jy27k3m3zb5yi	717	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	718	1	Ravì	ravì	JJ
work_oavbptqpunch5jy27k3m3zb5yi	718	2	D	d	NN
work_oavbptqpunch5jy27k3m3zb5yi	718	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	718	4	Wong	Wong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	5	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	718	7	Deligianni	Deligianni	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	8	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	718	10	Berthelot	Berthelot	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	11	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	718	13	Andreu	Andreu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	14	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	718	15	Perez	Perez	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	16	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	718	18	Lo	Lo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	19	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	20	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	718	21	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	22	G	G	NNP
work_oavbptqpunch5jy27k3m3zb5yi	718	23	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	718	24	Z.	Z.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	719	1	2016	2016	CD
work_oavbptqpunch5jy27k3m3zb5yi	719	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	720	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	720	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	720	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	720	4	health	health	NN
work_oavbptqpunch5jy27k3m3zb5yi	720	5	informatics	informatic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	720	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	721	1	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	721	2	journal	journal	NN
work_oavbptqpunch5jy27k3m3zb5yi	721	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	721	4	biomedical	biomedical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	721	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	721	6	health	health	NNP
work_oavbptqpunch5jy27k3m3zb5yi	721	7	informatics	informatic	NNS
work_oavbptqpunch5jy27k3m3zb5yi	721	8	21:4–21	21:4–21	CD
work_oavbptqpunch5jy27k3m3zb5yi	721	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	722	1	Sahakyan	Sahakyan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	722	2	A	A	NNP
work_oavbptqpunch5jy27k3m3zb5yi	722	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	722	4	HS	HS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	722	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	723	1	2012	2012	CD
work_oavbptqpunch5jy27k3m3zb5yi	723	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	724	1	Segmentation	segmentation	NN
work_oavbptqpunch5jy27k3m3zb5yi	724	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	724	3	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	724	4	breast	breast	NN
work_oavbptqpunch5jy27k3m3zb5yi	724	5	region	region	NN
work_oavbptqpunch5jy27k3m3zb5yi	724	6	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	724	7	digital	digital	JJ
work_oavbptqpunch5jy27k3m3zb5yi	724	8	mammograms	mammogram	NNS
work_oavbptqpunch5jy27k3m3zb5yi	724	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	724	10	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	724	11	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	724	12	masses	masse	NNS
work_oavbptqpunch5jy27k3m3zb5yi	724	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	725	1	International	International	NNP
work_oavbptqpunch5jy27k3m3zb5yi	725	2	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	725	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	725	4	Advanced	Advanced	NNP
work_oavbptqpunch5jy27k3m3zb5yi	725	5	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	725	6	Science	Science	NNP
work_oavbptqpunch5jy27k3m3zb5yi	725	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	725	8	Applications	Applications	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	725	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	725	10	IJACSA	IJACSA	NNP
work_oavbptqpunch5jy27k3m3zb5yi	725	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	725	12	3:102–105	3:102–105	CD
work_oavbptqpunch5jy27k3m3zb5yi	725	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	726	1	Shi	shi	NN
work_oavbptqpunch5jy27k3m3zb5yi	726	2	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	726	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	726	4	Han	Han	NNP
work_oavbptqpunch5jy27k3m3zb5yi	726	5	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	726	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	726	7	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	726	8	C.	C.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	726	9	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	726	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	727	1	Evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	727	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	727	3	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	727	4	manifestations	manifestation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	727	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	727	6	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	727	7	patient	patient	NN
work_oavbptqpunch5jy27k3m3zb5yi	727	8	recovered	recover	VBN
work_oavbptqpunch5jy27k3m3zb5yi	727	9	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	727	10	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	727	11	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	727	12	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	727	13	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	727	14	2019-nCoV	2019-ncov	CD
work_oavbptqpunch5jy27k3m3zb5yi	727	15	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	727	16	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	727	17	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	727	18	Wuhan	Wuhan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	727	19	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	727	20	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	727	21	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	728	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	728	2	295(1):20	295(1):20	CD
work_oavbptqpunch5jy27k3m3zb5yi	728	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	728	4	10.1148	10.1148	CD
work_oavbptqpunch5jy27k3m3zb5yi	728	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	728	6	radiol.2020200269	radiol.2020200269	NN
work_oavbptqpunch5jy27k3m3zb5yi	728	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	729	1	Singh	Singh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	729	2	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	729	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	729	4	Kumar	Kumar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	729	5	V	V	NNP
work_oavbptqpunch5jy27k3m3zb5yi	729	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	729	7	Kaur	Kaur	NNP
work_oavbptqpunch5jy27k3m3zb5yi	729	8	M.	M.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	729	9	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	729	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	730	1	Classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	730	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	730	3	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	730	4	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	730	5	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	730	6	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	730	7	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	730	8	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	730	9	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	730	10	multi	multi	JJ
work_oavbptqpunch5jy27k3m3zb5yi	730	11	-	-	JJ
work_oavbptqpunch5jy27k3m3zb5yi	730	12	objective	objective	JJ
work_oavbptqpunch5jy27k3m3zb5yi	730	13	differential	differential	NN
work_oavbptqpunch5jy27k3m3zb5yi	730	14	evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	730	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	730	16	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	730	17	convolutional	convolutional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	730	18	neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	730	19	networks	network	NNS
work_oavbptqpunch5jy27k3m3zb5yi	730	20	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	731	1	Epub	Epub	NNS
work_oavbptqpunch5jy27k3m3zb5yi	731	2	ahead	ahead	RB
work_oavbptqpunch5jy27k3m3zb5yi	731	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	731	4	print	print	NN
work_oavbptqpunch5jy27k3m3zb5yi	731	5	27	27	CD
work_oavbptqpunch5jy27k3m3zb5yi	731	6	April	April	NNP
work_oavbptqpunch5jy27k3m3zb5yi	731	7	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	731	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	732	1	European	European	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	2	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	732	4	Clinical	Clinical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	5	Microbiology	Microbiology	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	6	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	732	7	Infectious	Infectious	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	8	Diseases	Diseases	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	732	9	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	10	10.1007	10.1007	CD
work_oavbptqpunch5jy27k3m3zb5yi	732	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	732	12	s10096	s10096	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	13	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	732	14	020	020	NNP
work_oavbptqpunch5jy27k3m3zb5yi	732	15	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	732	16	03901-z	03901-z	NN
work_oavbptqpunch5jy27k3m3zb5yi	732	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	733	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	733	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	733	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	733	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	733	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	733	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	733	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	733	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	733	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	733	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	734	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	734	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	734	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	734	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	734	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	10	29/30	29/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	734	11	http://dx.doi.org/10.1148/radiol.2020200236	http://dx.doi.org/10.1148/radiol.2020200236	NN
work_oavbptqpunch5jy27k3m3zb5yi	734	12	http://dx.doi.org/10.1148/radiol.2020200905	http://dx.doi.org/10.1148/radiol.2020200905	PRP
work_oavbptqpunch5jy27k3m3zb5yi	734	13	http://dx.doi.org/10.1016/S0734-189X(87)80186-X	http://dx.doi.org/10.1016/S0734-189X(87)80186-X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	14	http://dx.doi.org/10.1016/j.patcog.2017.05.025	http://dx.doi.org/10.1016/j.patcog.2017.05.025	FW
work_oavbptqpunch5jy27k3m3zb5yi	734	15	http://dx.doi.org/10.3390/s18030699	http://dx.doi.org/10.3390/s18030699	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	16	http://dx.doi.org/10.1001/jama.2020.0757	http://dx.doi.org/10.1001/jama.2020.0757	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	17	http://dx.doi.org/10.1007/BF03178082	http://dx.doi.org/10.1007/bf03178082	CD
work_oavbptqpunch5jy27k3m3zb5yi	734	18	http://dx.doi.org/10.7717/peerj.6201	http://dx.doi.org/10.7717/peerj.6201	NN
work_oavbptqpunch5jy27k3m3zb5yi	734	19	http://dx.doi.org/10.1148/radiol.2020200269	http://dx.doi.org/10.1148/radiol.2020200269	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	20	http://dx.doi.org/10.1007/s10096-020-03901-z	http://dx.doi.org/10.1007/s10096-020-03901-z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	22	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	23	Soares	Soares	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	24	E	E	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	734	26	Angelov	Angelov	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	27	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	28	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	734	29	Biaso	Biaso	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	30	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	31	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	734	32	Froes	Froes	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	33	MH	MH	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	34	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	734	35	Abe	Abe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	36	DK	DK	NNP
work_oavbptqpunch5jy27k3m3zb5yi	734	37	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	735	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	735	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	736	1	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	2	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	736	3	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	4	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	5	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	736	6	scan	scan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	7	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	736	8	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	736	9	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	736	10	large	large	JJ
work_oavbptqpunch5jy27k3m3zb5yi	736	11	dataset	dataset	NN
work_oavbptqpunch5jy27k3m3zb5yi	736	12	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	736	13	real	real	JJ
work_oavbptqpunch5jy27k3m3zb5yi	736	14	patients	patient	NNS
work_oavbptqpunch5jy27k3m3zb5yi	736	15	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	16	scans	scan	NNS
work_oavbptqpunch5jy27k3m3zb5yi	736	17	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	736	18	SARS	SARS	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	19	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	736	20	CoV-2	CoV-2	NNP
work_oavbptqpunch5jy27k3m3zb5yi	736	21	identification	identification	NN
work_oavbptqpunch5jy27k3m3zb5yi	736	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	737	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	737	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	737	3	10.1101/2020.04.24.20078584	10.1101/2020.04.24.20078584	CD
work_oavbptqpunch5jy27k3m3zb5yi	737	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	738	1	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	2	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	4	Shi	Shi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	5	N	N	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	7	Shan	Shan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	8	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	10	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	11	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	13	Shen	Shen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	14	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	16	Lu	Lu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	17	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	19	Ling	Ling	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	20	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	22	Jiang	Jiang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	23	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	738	25	Shi	Shi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	738	26	Y.	Y.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	739	1	2020a	2020a	CD
work_oavbptqpunch5jy27k3m3zb5yi	739	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	740	1	Emerging	emerge	VBG
work_oavbptqpunch5jy27k3m3zb5yi	740	2	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	740	3	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	740	4	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	740	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	740	6	2019-nCoV	2019-ncov	CD
work_oavbptqpunch5jy27k3m3zb5yi	740	7	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	740	8	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	740	9	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	741	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	741	2	295(1):210–217	295(1):210–217	CD
work_oavbptqpunch5jy27k3m3zb5yi	741	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	741	4	10.1148	10.1148	CD
work_oavbptqpunch5jy27k3m3zb5yi	741	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	741	6	radiol.2020200274	radiol.2020200274	NNP
work_oavbptqpunch5jy27k3m3zb5yi	741	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	742	1	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	2	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	4	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	5	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	7	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	8	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	10	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	11	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	13	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	14	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	16	Huang	Huang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	17	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	19	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	20	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	22	Zhao	Zhao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	23	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	25	Jie	Jie	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	26	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	742	28	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	29	R.	R.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	742	30	2020b	2020b	CD
work_oavbptqpunch5jy27k3m3zb5yi	742	31	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	743	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	743	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	743	3	enables	enable	VBZ
work_oavbptqpunch5jy27k3m3zb5yi	743	4	accurate	accurate	JJ
work_oavbptqpunch5jy27k3m3zb5yi	743	5	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	743	6	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	743	7	novel	novel	JJ
work_oavbptqpunch5jy27k3m3zb5yi	743	8	coronavirus	coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	743	9	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	743	10	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	743	11	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	743	12	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	743	13	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	743	14	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	743	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	744	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	744	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	744	3	10.1101/2020.02.23.20026930	10.1101/2020.02.23.20026930	CD
work_oavbptqpunch5jy27k3m3zb5yi	744	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	745	1	Srivastava	srivastava	NN
work_oavbptqpunch5jy27k3m3zb5yi	745	2	V	v	NN
work_oavbptqpunch5jy27k3m3zb5yi	745	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	745	4	Purwar	Purwar	NNP
work_oavbptqpunch5jy27k3m3zb5yi	745	5	RK	RK	NNP
work_oavbptqpunch5jy27k3m3zb5yi	745	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	746	1	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	746	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	747	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	747	2	five	five	CD
work_oavbptqpunch5jy27k3m3zb5yi	747	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	747	4	level	level	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	5	wavelet	wavelet	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	6	decomposition	decomposition	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	7	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	747	8	dimensional	dimensional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	747	9	reduction	reduction	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	10	approach	approach	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	11	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	747	12	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	13	extraction	extraction	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	14	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	747	15	classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	747	16	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	747	17	MR	MR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	747	18	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	747	19	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	747	20	scan	scan	JJ
work_oavbptqpunch5jy27k3m3zb5yi	747	21	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	747	22	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	748	1	Applied	Applied	NNP
work_oavbptqpunch5jy27k3m3zb5yi	748	2	Computational	Computational	NNP
work_oavbptqpunch5jy27k3m3zb5yi	748	3	Intelligence	Intelligence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	748	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	748	5	Soft	Soft	NNP
work_oavbptqpunch5jy27k3m3zb5yi	748	6	Computing	Computing	NNP
work_oavbptqpunch5jy27k3m3zb5yi	748	7	2017(3):1–9	2017(3):1–9	CD
work_oavbptqpunch5jy27k3m3zb5yi	748	8	DOI	doi	NN
work_oavbptqpunch5jy27k3m3zb5yi	748	9	10.1155/2017/9571262	10.1155/2017/9571262	NNS
work_oavbptqpunch5jy27k3m3zb5yi	748	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	749	1	Szegedy	Szegedy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	2	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	4	Liu	Liu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	5	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	7	Jia	Jia	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	8	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	10	Sermanet	Sermanet	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	11	P	P	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	13	Reed	Reed	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	14	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	16	Anguelov	Anguelov	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	17	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	19	Erhan	Erhan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	20	D	D	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	22	Vanhoucke	Vanhoucke	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	23	V	V	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	749	25	Rabinovich	Rabinovich	NNP
work_oavbptqpunch5jy27k3m3zb5yi	749	26	A.	A.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	750	1	2015	2015	CD
work_oavbptqpunch5jy27k3m3zb5yi	750	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	751	1	Going	go	VBG
work_oavbptqpunch5jy27k3m3zb5yi	751	2	deeper	deeply	RBR
work_oavbptqpunch5jy27k3m3zb5yi	751	3	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	751	4	convolutions	convolution	NNS
work_oavbptqpunch5jy27k3m3zb5yi	751	5	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	752	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	752	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	752	3	Proceedings	proceeding	NNS
work_oavbptqpunch5jy27k3m3zb5yi	752	4	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	752	5	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	752	6	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	752	7	Conference	Conference	NNP
work_oavbptqpunch5jy27k3m3zb5yi	752	8	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	752	9	Computer	Computer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	752	10	Vision	Vision	NNP
work_oavbptqpunch5jy27k3m3zb5yi	752	11	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	752	12	Pattern	Pattern	NNP
work_oavbptqpunch5jy27k3m3zb5yi	752	13	Recognition	Recognition	NNP
work_oavbptqpunch5jy27k3m3zb5yi	752	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	753	1	1–9	1–9	CD
work_oavbptqpunch5jy27k3m3zb5yi	753	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	754	1	Vaishya	Vaishya	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	2	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	754	4	Javaid	Javaid	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	5	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	754	7	Khan	Khan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	8	IH	IH	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	754	10	Haleem	Haleem	NNP
work_oavbptqpunch5jy27k3m3zb5yi	754	11	A.	a.	NN
work_oavbptqpunch5jy27k3m3zb5yi	755	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	755	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	756	1	Artificial	Artificial	NNP
work_oavbptqpunch5jy27k3m3zb5yi	756	2	Intelligence	Intelligence	NNP
work_oavbptqpunch5jy27k3m3zb5yi	756	3	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	756	4	AI	AI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	756	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	756	6	applications	application	NNS
work_oavbptqpunch5jy27k3m3zb5yi	756	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	756	8	COVID-19	covid-19	JJ
work_oavbptqpunch5jy27k3m3zb5yi	756	9	pandemic	pandemic	NN
work_oavbptqpunch5jy27k3m3zb5yi	756	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	757	1	Diabetes	Diabetes	NNP
work_oavbptqpunch5jy27k3m3zb5yi	757	2	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	757	3	Metabolic	Metabolic	NNP
work_oavbptqpunch5jy27k3m3zb5yi	757	4	Syndrome	Syndrome	NNP
work_oavbptqpunch5jy27k3m3zb5yi	757	5	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	757	6	Clinical	Clinical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	757	7	Research	Research	NNP
work_oavbptqpunch5jy27k3m3zb5yi	757	8	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	757	9	Reviews	Reviews	NNP
work_oavbptqpunch5jy27k3m3zb5yi	757	10	14(4):337–339	14(4):337–339	CD
work_oavbptqpunch5jy27k3m3zb5yi	757	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	758	1	Wagh	Wagh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	758	2	KP	KP	NNP
work_oavbptqpunch5jy27k3m3zb5yi	758	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	758	4	Vasanth	Vasanth	NNP
work_oavbptqpunch5jy27k3m3zb5yi	758	5	K.	K.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	758	6	2019	2019	CD
work_oavbptqpunch5jy27k3m3zb5yi	758	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	759	1	Electroencephalograph	Electroencephalograph	NNP
work_oavbptqpunch5jy27k3m3zb5yi	759	2	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	759	3	EEG	EEG	NNP
work_oavbptqpunch5jy27k3m3zb5yi	759	4	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	759	5	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	759	6	emotion	emotion	NN
work_oavbptqpunch5jy27k3m3zb5yi	759	7	recognition	recognition	NN
work_oavbptqpunch5jy27k3m3zb5yi	759	8	system	system	NN
work_oavbptqpunch5jy27k3m3zb5yi	759	9	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	759	10	a	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	759	11	review	review	NN
work_oavbptqpunch5jy27k3m3zb5yi	759	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	760	1	In	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	760	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	760	3	Saini	saini	NN
work_oavbptqpunch5jy27k3m3zb5yi	760	4	H	h	NN
work_oavbptqpunch5jy27k3m3zb5yi	760	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	760	6	Singh	Singh	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	7	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	760	9	Patel	Patel	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	10	V	V	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	760	12	Santhi	Santhi	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	13	K	K	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	760	15	Ranganayakulu	Ranganayakulu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	16	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	760	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	760	18	eds	eds	XX
work_oavbptqpunch5jy27k3m3zb5yi	760	19	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	761	1	Innovations	innovation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	761	2	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	761	3	Electronics	Electronics	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	761	4	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	761	5	Communication	Communication	NNP
work_oavbptqpunch5jy27k3m3zb5yi	761	6	Engineering	Engineering	NNP
work_oavbptqpunch5jy27k3m3zb5yi	761	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	762	1	Lecture	Lecture	NNP
work_oavbptqpunch5jy27k3m3zb5yi	762	2	Notes	Notes	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	762	3	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	762	4	Networks	Networks	NNP
work_oavbptqpunch5jy27k3m3zb5yi	762	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	762	6	Systems	Systems	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	762	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	763	1	Vol	Vol	NNP
work_oavbptqpunch5jy27k3m3zb5yi	763	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	764	1	33	33	CD
work_oavbptqpunch5jy27k3m3zb5yi	764	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	765	1	Singapore	Singapore	NNP
work_oavbptqpunch5jy27k3m3zb5yi	765	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	765	3	Springer	Springer	NNP
work_oavbptqpunch5jy27k3m3zb5yi	765	4	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	765	5	37–59	37–59	NNP
work_oavbptqpunch5jy27k3m3zb5yi	765	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	766	1	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	2	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	4	Kang	Kang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	5	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	7	Ma	Ma	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	8	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	10	Zeng	Zeng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	11	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	13	Xiao	Xiao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	14	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	16	Guo	Guo	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	17	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	19	Cai	Cai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	20	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	22	Yang	Yang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	23	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	24	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	25	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	26	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	27	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	766	28	Meng	Meng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	766	29	X.	X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	767	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	767	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	768	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	768	2	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	768	3	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	768	4	algorithm	algorithm	NN
work_oavbptqpunch5jy27k3m3zb5yi	768	5	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	768	6	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	768	7	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	768	8	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	768	9	screen	screen	NN
work_oavbptqpunch5jy27k3m3zb5yi	768	10	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	768	11	Corona	Corona	NNP
work_oavbptqpunch5jy27k3m3zb5yi	768	12	Virus	Virus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	768	13	Disease	Disease	NNP
work_oavbptqpunch5jy27k3m3zb5yi	768	14	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	768	15	COVID-19	covid-19	NN
work_oavbptqpunch5jy27k3m3zb5yi	768	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	768	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	769	1	MedRxiv	MedRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	2	preprint	preprint	NN
work_oavbptqpunch5jy27k3m3zb5yi	769	3	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	4	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	5	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	769	6	Su	Su	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	7	R	R	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	8	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	769	9	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	10	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	11	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	769	12	Li	Li	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	13	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	769	15	Zou	Zou	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	16	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	769	18	Gao	Gao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	769	19	X.	X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	770	1	2019a	2019a	CD
work_oavbptqpunch5jy27k3m3zb5yi	770	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	771	1	Integration	integration	NN
work_oavbptqpunch5jy27k3m3zb5yi	771	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	771	3	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	771	4	feature	feature	NN
work_oavbptqpunch5jy27k3m3zb5yi	771	5	representations	representation	NNS
work_oavbptqpunch5jy27k3m3zb5yi	771	6	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	771	7	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	771	8	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	771	9	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	771	10	improve	improve	VB
work_oavbptqpunch5jy27k3m3zb5yi	771	11	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	771	12	prediction	prediction	NN
work_oavbptqpunch5jy27k3m3zb5yi	771	13	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	771	14	N6-methyladenosine	n6-methyladenosine	DT
work_oavbptqpunch5jy27k3m3zb5yi	771	15	sites	site	NNS
work_oavbptqpunch5jy27k3m3zb5yi	771	16	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	772	1	Neurocomputing	neurocompute	VBG
work_oavbptqpunch5jy27k3m3zb5yi	772	2	324:3–9	324:3–9	CD
work_oavbptqpunch5jy27k3m3zb5yi	772	3	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	772	4	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	772	5	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	772	6	j.neucom.2018.04.082	j.neucom.2018.04.082	CD
work_oavbptqpunch5jy27k3m3zb5yi	772	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	773	1	Wei	Wei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	2	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	773	4	Zhou	Zhou	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	5	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	773	7	Polap	Polap	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	8	D	d	NN
work_oavbptqpunch5jy27k3m3zb5yi	773	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	773	10	Woźniak	Woźniak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	11	M.	M.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	773	12	2019b	2019b	CD
work_oavbptqpunch5jy27k3m3zb5yi	773	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	774	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	774	2	regional	regional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	774	3	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	774	4	variational	variational	JJ
work_oavbptqpunch5jy27k3m3zb5yi	774	5	PDE	PDE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	774	6	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	774	7	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	774	8	computed	computed	NNP
work_oavbptqpunch5jy27k3m3zb5yi	774	9	tomography	tomography	NN
work_oavbptqpunch5jy27k3m3zb5yi	774	10	image	image	NN
work_oavbptqpunch5jy27k3m3zb5yi	774	11	reconstruction	reconstruction	NN
work_oavbptqpunch5jy27k3m3zb5yi	774	12	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	775	1	Pattern	Pattern	NNP
work_oavbptqpunch5jy27k3m3zb5yi	775	2	Recognition	Recognition	NNP
work_oavbptqpunch5jy27k3m3zb5yi	775	3	92:64–81	92:64–81	CD
work_oavbptqpunch5jy27k3m3zb5yi	775	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	775	5	10.1016	10.1016	CD
work_oavbptqpunch5jy27k3m3zb5yi	775	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	775	7	j.patcog.2019.03.009	j.patcog.2019.03.009	CD
work_oavbptqpunch5jy27k3m3zb5yi	775	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	776	1	Wieczorek	Wieczorek	NNP
work_oavbptqpunch5jy27k3m3zb5yi	776	2	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	776	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	776	4	Silka	Silka	NNP
work_oavbptqpunch5jy27k3m3zb5yi	776	5	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	776	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	776	7	Woźniak	Woźniak	NNP
work_oavbptqpunch5jy27k3m3zb5yi	776	8	M.	M.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	776	9	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	776	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	777	1	Neural	neural	JJ
work_oavbptqpunch5jy27k3m3zb5yi	777	2	network	network	NN
work_oavbptqpunch5jy27k3m3zb5yi	777	3	powered	power	VBD
work_oavbptqpunch5jy27k3m3zb5yi	777	4	COVID-19	COVID-19	,
work_oavbptqpunch5jy27k3m3zb5yi	777	5	spread	spread	NN
work_oavbptqpunch5jy27k3m3zb5yi	777	6	forecasting	forecasting	NN
work_oavbptqpunch5jy27k3m3zb5yi	777	7	model	model	NN
work_oavbptqpunch5jy27k3m3zb5yi	777	8	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	778	1	Chaos	Chaos	NNP
work_oavbptqpunch5jy27k3m3zb5yi	778	2	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	778	3	Solitons	Solitons	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	778	4	&	&	CC
work_oavbptqpunch5jy27k3m3zb5yi	778	5	Fractals	Fractals	NNP
work_oavbptqpunch5jy27k3m3zb5yi	778	6	140:110203	140:110203	NN
work_oavbptqpunch5jy27k3m3zb5yi	778	7	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	779	1	Wu	Wu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	2	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	4	Zhao	Zhao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	5	S	S	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	7	Yu	Yu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	8	B	B	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	10	Chen	Chen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	11	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	13	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	14	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	15	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	16	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	17	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	18	Song	Song	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	19	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	20	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	21	G	G	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	22	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	23	Hu	Hu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	24	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	25	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	26	Tao	Tao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	27	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	28	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	29	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	30	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	31	Tian	Tian	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	32	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	33	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	34	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	35	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	36	Pei	Pei	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	37	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	38	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	39	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	40	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	41	Yuan	Yuan	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	42	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	43	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	44	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	45	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	46	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	47	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	48	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	49	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	50	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	51	Dai	Dai	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	52	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	53	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	54	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	55	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	56	Liu	Liu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	57	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	58	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	59	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	60	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	61	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	62	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	63	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	64	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	65	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	66	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	67	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	68	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	69	Xu	Xu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	70	L	L	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	71	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	72	Holmes	Holmes	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	73	EC	EC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	74	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	779	75	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	76	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	779	77	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	779	78	Z.	Z.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	780	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	780	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	781	1	A	a	DT
work_oavbptqpunch5jy27k3m3zb5yi	781	2	new	new	JJ
work_oavbptqpunch5jy27k3m3zb5yi	781	3	coronavirus	coronavirus	NN
work_oavbptqpunch5jy27k3m3zb5yi	781	4	associated	associate	VBN
work_oavbptqpunch5jy27k3m3zb5yi	781	5	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	781	6	human	human	JJ
work_oavbptqpunch5jy27k3m3zb5yi	781	7	respiratory	respiratory	JJ
work_oavbptqpunch5jy27k3m3zb5yi	781	8	disease	disease	NN
work_oavbptqpunch5jy27k3m3zb5yi	781	9	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	781	10	China	China	NNP
work_oavbptqpunch5jy27k3m3zb5yi	781	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	782	1	Nature	nature	NN
work_oavbptqpunch5jy27k3m3zb5yi	782	2	579:265–269	579:265–269	CD
work_oavbptqpunch5jy27k3m3zb5yi	782	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	783	1	Xie	Xie	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	2	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	783	4	Zhong	Zhong	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	5	Z	Z	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	783	7	Zhao	Zhao	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	8	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	783	10	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	11	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	783	13	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	14	F	F	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	783	16	Liu	Liu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	783	17	J.	J.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	784	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	784	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	785	1	Chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	785	2	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	785	3	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	785	4	typical	typical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	785	5	2019-nCoV	2019-ncov	CD
work_oavbptqpunch5jy27k3m3zb5yi	785	6	pneumonia	pneumonia	NN
work_oavbptqpunch5jy27k3m3zb5yi	785	7	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	785	8	relationship	relationship	NN
work_oavbptqpunch5jy27k3m3zb5yi	785	9	to	to	IN
work_oavbptqpunch5jy27k3m3zb5yi	785	10	negative	negative	JJ
work_oavbptqpunch5jy27k3m3zb5yi	785	11	RT	RT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	785	12	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	785	13	PCR	PCR	NNP
work_oavbptqpunch5jy27k3m3zb5yi	785	14	testing	testing	NN
work_oavbptqpunch5jy27k3m3zb5yi	785	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	786	1	Radiology	radiology	NN
work_oavbptqpunch5jy27k3m3zb5yi	786	2	296(2):E41–E45	296(2):e41–e45	CD
work_oavbptqpunch5jy27k3m3zb5yi	786	3	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	787	1	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	787	2	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	787	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	787	4	Sanderson	Sanderson	NNP
work_oavbptqpunch5jy27k3m3zb5yi	787	5	AC	AC	NNP
work_oavbptqpunch5jy27k3m3zb5yi	787	6	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	788	1	2009	2009	CD
work_oavbptqpunch5jy27k3m3zb5yi	788	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	789	1	JADE	JADE	NNS
work_oavbptqpunch5jy27k3m3zb5yi	789	2	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	789	3	adaptive	adaptive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	789	4	differential	differential	NN
work_oavbptqpunch5jy27k3m3zb5yi	789	5	evolution	evolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	789	6	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	789	7	optional	optional	JJ
work_oavbptqpunch5jy27k3m3zb5yi	789	8	external	external	JJ
work_oavbptqpunch5jy27k3m3zb5yi	789	9	archive	archive	NN
work_oavbptqpunch5jy27k3m3zb5yi	789	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	790	1	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	790	2	Transactions	transaction	NNS
work_oavbptqpunch5jy27k3m3zb5yi	790	3	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	790	4	Evolutionary	Evolutionary	NNP
work_oavbptqpunch5jy27k3m3zb5yi	790	5	Computation	Computation	NNP
work_oavbptqpunch5jy27k3m3zb5yi	790	6	13(5):945–958	13(5):945–958	CD
work_oavbptqpunch5jy27k3m3zb5yi	790	7	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	790	8	10.1109	10.1109	CD
work_oavbptqpunch5jy27k3m3zb5yi	790	9	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	790	10	TEVC.2009.2014613	TEVC.2009.2014613	NNP
work_oavbptqpunch5jy27k3m3zb5yi	790	11	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	791	1	Zhang	Zhang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	2	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	791	4	Xia	Xia	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	5	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	791	7	Xie	Xie	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	8	Y	Y	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	791	10	Fulham	Fulham	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	11	M	M	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	791	13	Feng	Feng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	14	DD	DD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	791	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	792	1	2017	2017	CD
work_oavbptqpunch5jy27k3m3zb5yi	792	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	793	1	Classification	classification	NN
work_oavbptqpunch5jy27k3m3zb5yi	793	2	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	793	3	medical	medical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	793	4	images	image	NNS
work_oavbptqpunch5jy27k3m3zb5yi	793	5	in	in	IN
work_oavbptqpunch5jy27k3m3zb5yi	793	6	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	793	7	biomedical	biomedical	JJ
work_oavbptqpunch5jy27k3m3zb5yi	793	8	literature	literature	NN
work_oavbptqpunch5jy27k3m3zb5yi	793	9	by	by	IN
work_oavbptqpunch5jy27k3m3zb5yi	793	10	jointly	jointly	RB
work_oavbptqpunch5jy27k3m3zb5yi	793	11	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	793	12	deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	793	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	793	14	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	793	15	visual	visual	JJ
work_oavbptqpunch5jy27k3m3zb5yi	793	16	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	793	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	794	1	IEEE	IEEE	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	2	Journal	Journal	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	3	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	794	4	Biomedical	Biomedical	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	5	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	794	6	Health	Health	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	7	Informatics	Informatics	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	8	22(5):1521–1530	22(5):1521–1530	CD
work_oavbptqpunch5jy27k3m3zb5yi	794	9	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	10	10.1109	10.1109	CD
work_oavbptqpunch5jy27k3m3zb5yi	794	11	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	794	12	JBHI.2017.2775662	JBHI.2017.2775662	NNP
work_oavbptqpunch5jy27k3m3zb5yi	794	13	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	795	1	Zheng	Zheng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	2	C	C	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	4	Deng	Deng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	5	X	X	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	6	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	7	Fu	Fu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	8	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	9	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	10	Zhou	Zhou	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	11	Q	Q	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	12	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	13	Feng	Feng	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	14	J	J	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	15	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	16	Ma	Ma	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	17	H	H	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	18	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	19	Liu	Liu	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	20	W	W	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	21	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	795	22	Wang	Wang	NNP
work_oavbptqpunch5jy27k3m3zb5yi	795	23	X.	X.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	796	1	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	796	2	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	797	1	Deep	deep	JJ
work_oavbptqpunch5jy27k3m3zb5yi	797	2	learning	learning	NN
work_oavbptqpunch5jy27k3m3zb5yi	797	3	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	797	4	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	797	5	detection	detection	NN
work_oavbptqpunch5jy27k3m3zb5yi	797	6	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	797	7	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	797	8	from	from	IN
work_oavbptqpunch5jy27k3m3zb5yi	797	9	chest	chest	NN
work_oavbptqpunch5jy27k3m3zb5yi	797	10	CT	CT	NNP
work_oavbptqpunch5jy27k3m3zb5yi	797	11	using	use	VBG
work_oavbptqpunch5jy27k3m3zb5yi	797	12	weak	weak	JJ
work_oavbptqpunch5jy27k3m3zb5yi	797	13	label	label	NN
work_oavbptqpunch5jy27k3m3zb5yi	797	14	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	798	1	medRxiv	medRxiv	NNP
work_oavbptqpunch5jy27k3m3zb5yi	798	2	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	798	3	10.1101/2020.03.12.20027185	10.1101/2020.03.12.20027185	CD
work_oavbptqpunch5jy27k3m3zb5yi	798	4	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	799	1	Ragab	Ragab	NNP
work_oavbptqpunch5jy27k3m3zb5yi	799	2	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	799	3	Attallah	Attallah	NNP
work_oavbptqpunch5jy27k3m3zb5yi	799	4	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	799	5	2020	2020	CD
work_oavbptqpunch5jy27k3m3zb5yi	799	6	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	799	7	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	799	8	PeerJ	PeerJ	NNP
work_oavbptqpunch5jy27k3m3zb5yi	799	9	Comput	Comput	NNP
work_oavbptqpunch5jy27k3m3zb5yi	799	10	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	800	1	Sci	Sci	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	2	.	.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	3	,	,	,
work_oavbptqpunch5jy27k3m3zb5yi	800	4	DOI	DOI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	5	10.7717	10.7717	CD
work_oavbptqpunch5jy27k3m3zb5yi	800	6	/	/	SYM
work_oavbptqpunch5jy27k3m3zb5yi	800	7	peerj	peerj	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	8	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	800	9	cs.306	cs.306	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	10	30/30	30/30	CD
work_oavbptqpunch5jy27k3m3zb5yi	800	11	http://dx.doi.org/10.1101/2020.04.24.20078584	http://dx.doi.org/10.1101/2020.04.24.20078584	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	12	http://dx.doi.org/10.1148/radiol.2020200274	http://dx.doi.org/10.1148/radiol.2020200274	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	13	http://dx.doi.org/10.1101/2020.02.23.20026930	http://dx.doi.org/10.1101/2020.02.23.20026930	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	14	http://dx.doi.org/10.1155/2017/9571262	http://dx.doi.org/10.1155/2017/9571262	ADD
work_oavbptqpunch5jy27k3m3zb5yi	800	15	http://dx.doi.org/10.1016/j.neucom.2018.04.082	http://dx.doi.org/10.1016/j.neucom.2018.04.082	FW
work_oavbptqpunch5jy27k3m3zb5yi	800	16	http://dx.doi.org/10.1016/j.patcog.2019.03.009	http://dx.doi.org/10.1016/j.patcog.2019.03.009	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	17	http://dx.doi.org/10.1109/TEVC.2009.2014613	http://dx.doi.org/10.1109/TEVC.2009.2014613	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	18	http://dx.doi.org/10.1109/JBHI.2017.2775662	http://dx.doi.org/10.1109/JBHI.2017.2775662	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	19	http://dx.doi.org/10.1101/2020.03.12.20027185	http://dx.doi.org/10.1101/2020.03.12.20027185	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	20	https://peerj.com/computer-science/	https://peerj.com/computer-science/	.
work_oavbptqpunch5jy27k3m3zb5yi	800	21	http://dx.doi.org/10.7717/peerj-cs.306	http://dx.doi.org/10.7717/peerj-cs.306	CD
work_oavbptqpunch5jy27k3m3zb5yi	800	22	FUSI	FUSI	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	23	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	800	24	CAD	CAD	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	25	:	:	:
work_oavbptqpunch5jy27k3m3zb5yi	800	26	Coronavirus	Coronavirus	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	27	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	28	COVID-19	COVID-19	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	29	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	30	diagnosis	diagnosis	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	31	based	base	VBN
work_oavbptqpunch5jy27k3m3zb5yi	800	32	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	800	33	the	the	DT
work_oavbptqpunch5jy27k3m3zb5yi	800	34	fusion	fusion	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	35	of	of	IN
work_oavbptqpunch5jy27k3m3zb5yi	800	36	CNNs	cnn	NNS
work_oavbptqpunch5jy27k3m3zb5yi	800	37	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	800	38	handcrafted	handcraft	VBN
work_oavbptqpunch5jy27k3m3zb5yi	800	39	features	feature	NNS
work_oavbptqpunch5jy27k3m3zb5yi	800	40	Introduction	introduction	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	41	Methods	method	NNS
work_oavbptqpunch5jy27k3m3zb5yi	800	42	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	800	43	materials	material	NNS
work_oavbptqpunch5jy27k3m3zb5yi	800	44	Performance	performance	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	45	evaluation	evaluation	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	46	Experimental	Experimental	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	47	set	set	VBD
work_oavbptqpunch5jy27k3m3zb5yi	800	48	up	up	RP
work_oavbptqpunch5jy27k3m3zb5yi	800	49	Results	Results	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	50	Discussions	Discussions	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	51	Conclusions	Conclusions	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	800	52	References	References	NNPS
work_oavbptqpunch5jy27k3m3zb5yi	800	53	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	800	54	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	800	55	/ASCII85EncodePages	/ASCII85EncodePages	,
work_oavbptqpunch5jy27k3m3zb5yi	800	56	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	800	57	/AllowTransparency	/allowtransparency	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	58	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	800	59	/AutoPositionEPSFiles	/AutoPositionEPSFiles	.
work_oavbptqpunch5jy27k3m3zb5yi	800	60	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	800	61	/AutoRotatePages	/AutoRotatePages	.
work_oavbptqpunch5jy27k3m3zb5yi	800	62	/None	/None	NFP
work_oavbptqpunch5jy27k3m3zb5yi	800	63	/Binding	/Binding	.
work_oavbptqpunch5jy27k3m3zb5yi	800	64	/Left	/Left	.
work_oavbptqpunch5jy27k3m3zb5yi	800	65	/CalGrayProfile	/CalGrayProfile	.
work_oavbptqpunch5jy27k3m3zb5yi	800	66	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	67	Dot	dot	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	68	Gain	Gain	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	69	20	20	CD
work_oavbptqpunch5jy27k3m3zb5yi	800	70	%	%	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	71	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	72	/CalRGBProfile	/CalRGBProfile	.
work_oavbptqpunch5jy27k3m3zb5yi	800	73	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	74	sRGB	srgb	NN
work_oavbptqpunch5jy27k3m3zb5yi	800	75	IEC61966	IEC61966	NNP
work_oavbptqpunch5jy27k3m3zb5yi	800	76	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	800	77	2.1	2.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	800	78	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	79	/CalCMYKProfile	/CalCMYKProfile	.
work_oavbptqpunch5jy27k3m3zb5yi	800	80	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	800	81	U.S.	U.S.	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	1	Web	web	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	2	Coated	Coated	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	3	\050SWOP\051	\050SWOP\051	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	4	v2	v2	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	5	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	6	/sRGBProfile	/sRGBProfile	.
work_oavbptqpunch5jy27k3m3zb5yi	801	7	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	8	sRGB	srgb	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	9	IEC61966	IEC61966	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	10	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	801	11	2.1	2.1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	12	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	13	/CannotEmbedFontPolicy	/CannotEmbedFontPolicy	.
work_oavbptqpunch5jy27k3m3zb5yi	801	14	/Warning	/Warning	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	15	/CompatibilityLevel	/compatibilitylevel	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	16	1.4	1.4	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	17	/CompressObjects	/CompressObjects	.
work_oavbptqpunch5jy27k3m3zb5yi	801	18	/Off	/Off	.
work_oavbptqpunch5jy27k3m3zb5yi	801	19	/CompressPages	/CompressPages	.
work_oavbptqpunch5jy27k3m3zb5yi	801	20	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	21	/ConvertImagesToIndexed	/ConvertImagesToIndexed	.
work_oavbptqpunch5jy27k3m3zb5yi	801	22	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	23	/PassThroughJPEGImages	/PassThroughJPEGImages	.
work_oavbptqpunch5jy27k3m3zb5yi	801	24	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	25	/CreateJobTicket	/createjobticket	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	26	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	27	/DefaultRenderingIntent	/DefaultRenderingIntent	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	28	/Default	/Default	.
work_oavbptqpunch5jy27k3m3zb5yi	801	29	/DetectBlends	/DetectBlends	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	30	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	31	/DetectCurves	/DetectCurves	.
work_oavbptqpunch5jy27k3m3zb5yi	801	32	0.0000	0.0000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	33	/ColorConversionStrategy	/ColorConversionStrategy	.
work_oavbptqpunch5jy27k3m3zb5yi	801	34	/LeaveColorUnchanged	/LeaveColorUnchanged	.
work_oavbptqpunch5jy27k3m3zb5yi	801	35	/DoThumbnails	/DoThumbnails	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	36	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	37	/EmbedAllFonts	/embedallfont	NNS
work_oavbptqpunch5jy27k3m3zb5yi	801	38	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	39	/EmbedOpenType	/EmbedOpenType	.
work_oavbptqpunch5jy27k3m3zb5yi	801	40	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	41	/ParseICCProfilesInComments	/ParseICCProfilesInComments	.
work_oavbptqpunch5jy27k3m3zb5yi	801	42	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	43	/EmbedJobOptions	/embedjoboption	NNS
work_oavbptqpunch5jy27k3m3zb5yi	801	44	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	45	/DSCReportingLevel	/DSCReportingLevel	.
work_oavbptqpunch5jy27k3m3zb5yi	801	46	0	0	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	47	/EmitDSCWarnings	/EmitDSCWarnings	.
work_oavbptqpunch5jy27k3m3zb5yi	801	48	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	49	/EndPage	/endpage	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	50	-1	-1	.
work_oavbptqpunch5jy27k3m3zb5yi	801	51	/ImageMemory	/imagememory	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	52	1048576	1048576	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	53	/LockDistillerParams	/lockdistillerparams	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	54	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	55	/MaxSubsetPct	/MaxSubsetPct	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	56	100	100	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	57	/Optimize	/optimize	VBP
work_oavbptqpunch5jy27k3m3zb5yi	801	58	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	59	/OPM	/OPM	.
work_oavbptqpunch5jy27k3m3zb5yi	801	60	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	61	/ParseDSCComments	/ParseDSCComments	.
work_oavbptqpunch5jy27k3m3zb5yi	801	62	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	63	/ParseDSCCommentsForDocInfo	/ParseDSCCommentsForDocInfo	.
work_oavbptqpunch5jy27k3m3zb5yi	801	64	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	65	/PreserveCopyPage	/PreserveCopyPage	.
work_oavbptqpunch5jy27k3m3zb5yi	801	66	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	67	/PreserveDICMYKValues	/PreserveDICMYKValues	.
work_oavbptqpunch5jy27k3m3zb5yi	801	68	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	69	/PreserveEPSInfo	/PreserveEPSInfo	.
work_oavbptqpunch5jy27k3m3zb5yi	801	70	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	71	/PreserveFlatness	/PreserveFlatness	.
work_oavbptqpunch5jy27k3m3zb5yi	801	72	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	73	/PreserveHalftoneInfo	/preservehalftoneinfo	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	74	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	75	/PreserveOPIComments	/PreserveOPIComments	,
work_oavbptqpunch5jy27k3m3zb5yi	801	76	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	77	/PreserveOverprintSettings	/PreserveOverprintSettings	.
work_oavbptqpunch5jy27k3m3zb5yi	801	78	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	79	/StartPage	/StartPage	:
work_oavbptqpunch5jy27k3m3zb5yi	801	80	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	81	/SubsetFonts	/subsetfonts	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	82	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	83	/TransferFunctionInfo	/TransferFunctionInfo	.
work_oavbptqpunch5jy27k3m3zb5yi	801	84	/Apply	/apply	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	85	/UCRandBGInfo	/UCRandBGInfo	.
work_oavbptqpunch5jy27k3m3zb5yi	801	86	/Preserve	/Preserve	:
work_oavbptqpunch5jy27k3m3zb5yi	801	87	/UsePrologue	/UsePrologue	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	88	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	89	/ColorSettingsFile	/ColorSettingsFile	.
work_oavbptqpunch5jy27k3m3zb5yi	801	90	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	91	None	none	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	92	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	93	/AlwaysEmbed	/alwaysembed	VB
work_oavbptqpunch5jy27k3m3zb5yi	801	94	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	95	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	96	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	97	/NeverEmbed	/neverembe	VBN
work_oavbptqpunch5jy27k3m3zb5yi	801	98	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	99	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	100	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	101	/AntiAliasColorImages	/AntiAliasColorImages	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	102	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	103	/CropColorImages	/cropcolorimage	NNS
work_oavbptqpunch5jy27k3m3zb5yi	801	104	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	105	/ColorImageMinResolution	/colorimageminresolution	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	106	300	300	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	107	/ColorImageMinResolutionPolicy	/colorimageminresolutionpolicy	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	108	/OK	/OK	.
work_oavbptqpunch5jy27k3m3zb5yi	801	109	/DownsampleColorImages	/DownsampleColorImages	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	110	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	111	/ColorImageDownsampleType	/ColorImageDownsampleType	NNS
work_oavbptqpunch5jy27k3m3zb5yi	801	112	/Average	/Average	.
work_oavbptqpunch5jy27k3m3zb5yi	801	113	/ColorImageResolution	/ColorImageResolution	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	114	300	300	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	115	/ColorImageDepth	/colorimagedepth	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	116	8	8	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	117	/ColorImageMinDownsampleDepth	/colorimagemindownsampledepth	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	118	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	119	/ColorImageDownsampleThreshold	/colorimagedownsamplethreshold	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	120	1.50000	1.50000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	121	/EncodeColorImages	/EncodeColorImages	.
work_oavbptqpunch5jy27k3m3zb5yi	801	122	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	123	/ColorImageFilter	/ColorImageFilter	.
work_oavbptqpunch5jy27k3m3zb5yi	801	124	/FlateEncode	/FlateEncode	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	125	/AutoFilterColorImages	/AutoFilterColorImages	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	126	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	127	/ColorImageAutoFilterStrategy	/ColorImageAutoFilterStrategy	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	128	/JPEG	/JPEG	.
work_oavbptqpunch5jy27k3m3zb5yi	801	129	/ColorACSImageDict	/ColorACSImageDict	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	130	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	131	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	132	/QFactor	/qfactor	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	133	0.15	0.15	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	134	/HSamples	/HSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	135	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	136	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	137	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	138	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	139	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	140	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	141	/VSamples	/VSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	142	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	143	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	144	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	145	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	146	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	147	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	148	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	149	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	150	/ColorImageDict	/ColorImageDict	.
work_oavbptqpunch5jy27k3m3zb5yi	801	151	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	152	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	153	/QFactor	/qfactor	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	154	0.15	0.15	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	155	/HSamples	/HSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	156	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	157	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	158	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	159	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	160	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	161	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	162	/VSamples	/VSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	163	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	164	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	165	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	166	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	167	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	168	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	169	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	170	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	171	/JPEG2000ColorACSImageDict	/JPEG2000ColorACSImageDict	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	172	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	173	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	174	/TileWidth	/TileWidth	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	175	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	176	/TileHeight	/tileheight	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	177	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	178	/Quality	/quality	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	179	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	180	>	>	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	181	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	182	/JPEG2000ColorImageDict	/JPEG2000ColorImageDict	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	183	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	184	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	185	/TileWidth	/TileWidth	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	186	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	187	/TileHeight	/tileheight	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	188	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	189	/Quality	/quality	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	190	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	191	>	>	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	192	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	193	/AntiAliasGrayImages	/AntiAliasGrayImages	:
work_oavbptqpunch5jy27k3m3zb5yi	801	194	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	195	/CropGrayImages	/CropGrayImages	.
work_oavbptqpunch5jy27k3m3zb5yi	801	196	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	197	/GrayImageMinResolution	/GrayImageMinResolution	:
work_oavbptqpunch5jy27k3m3zb5yi	801	198	300	300	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	199	/GrayImageMinResolutionPolicy	/grayimageminresolutionpolicy	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	200	/OK	/OK	.
work_oavbptqpunch5jy27k3m3zb5yi	801	201	/DownsampleGrayImages	/DownsampleGrayImages	,
work_oavbptqpunch5jy27k3m3zb5yi	801	202	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	203	/GrayImageDownsampleType	/GrayImageDownsampleType	.
work_oavbptqpunch5jy27k3m3zb5yi	801	204	/Average	/average	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	205	/GrayImageResolution	/GrayImageResolution	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	206	300	300	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	207	/GrayImageDepth	/grayimagedepth	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	208	8	8	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	209	/GrayImageMinDownsampleDepth	/grayimagemindownsampledepth	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	210	2	2	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	211	/GrayImageDownsampleThreshold	/grayimagedownsamplethreshold	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	212	1.50000	1.50000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	213	/EncodeGrayImages	/encodegrayimages	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	214	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	215	/GrayImageFilter	/GrayImageFilter	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	216	/FlateEncode	/flateencode	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	217	/AutoFilterGrayImages	/AutoFilterGrayImages	,
work_oavbptqpunch5jy27k3m3zb5yi	801	218	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	219	/GrayImageAutoFilterStrategy	/grayimageautofilterstrategy	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	220	/JPEG	/JPEG	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	221	/GrayACSImageDict	/GrayACSImageDict	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	222	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	223	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	224	/QFactor	/qfactor	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	225	0.15	0.15	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	226	/HSamples	/HSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	227	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	228	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	229	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	230	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	231	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	232	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	233	/VSamples	/VSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	234	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	235	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	236	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	237	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	238	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	239	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	240	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	241	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	242	/GrayImageDict	/GrayImageDict	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	243	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	244	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	245	/QFactor	/qfactor	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	246	0.15	0.15	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	247	/HSamples	/HSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	248	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	249	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	250	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	251	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	252	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	253	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	254	/VSamples	/VSamples	.
work_oavbptqpunch5jy27k3m3zb5yi	801	255	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	256	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	257	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	258	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	259	1	1	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	260	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	261	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	262	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	263	/JPEG2000GrayACSImageDict	/JPEG2000GrayACSImageDict	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	264	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	265	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	266	/TileWidth	/TileWidth	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	267	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	268	/TileHeight	/tileheight	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	269	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	270	/Quality	/quality	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	271	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	272	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	273	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	274	/JPEG2000GrayImageDict	/JPEG2000GrayImageDict	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	275	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	276	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	277	/TileWidth	/TileWidth	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	278	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	279	/TileHeight	/tileheight	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	280	256	256	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	281	/Quality	/quality	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	282	30	30	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	283	>	>	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	284	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	285	/AntiAliasMonoImages	/AntiAliasMonoImages	:
work_oavbptqpunch5jy27k3m3zb5yi	801	286	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	287	/CropMonoImages	/CropMonoImages	.
work_oavbptqpunch5jy27k3m3zb5yi	801	288	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	289	/MonoImageMinResolution	/MonoImageMinResolution	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	290	1200	1200	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	291	/MonoImageMinResolutionPolicy	/MonoImageMinResolutionPolicy	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	292	/OK	/OK	,
work_oavbptqpunch5jy27k3m3zb5yi	801	293	/DownsampleMonoImages	/DownsampleMonoImages	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	294	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	295	/MonoImageDownsampleType	/MonoImageDownsampleType	,
work_oavbptqpunch5jy27k3m3zb5yi	801	296	/Average	/average	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	297	/MonoImageResolution	/MonoImageResolution	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	298	1200	1200	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	299	/MonoImageDepth	/monoimagedepth	SYM
work_oavbptqpunch5jy27k3m3zb5yi	801	300	-1	-1	.
work_oavbptqpunch5jy27k3m3zb5yi	801	301	/MonoImageDownsampleThreshold	/MonoImageDownsampleThreshold	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	302	1.50000	1.50000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	303	/EncodeMonoImages	/EncodeMonoImages	.
work_oavbptqpunch5jy27k3m3zb5yi	801	304	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	305	/MonoImageFilter	/MonoImageFilter	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	306	/CCITTFaxEncode	/CCITTFaxEncode	.
work_oavbptqpunch5jy27k3m3zb5yi	801	307	/MonoImageDict	/MonoImageDict	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	308	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	309	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	310	/K	/K	.
work_oavbptqpunch5jy27k3m3zb5yi	801	311	-1	-1	.
work_oavbptqpunch5jy27k3m3zb5yi	801	312	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	313	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	314	/AllowPSXObjects	/AllowPSXObjects	:
work_oavbptqpunch5jy27k3m3zb5yi	801	315	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	316	/CheckCompliance	/CheckCompliance	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	317	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	318	/None	/None	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	319	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	320	/PDFX1aCheck	/PDFX1aCheck	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	321	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	322	/PDFX3Check	/PDFX3Check	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	323	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	324	/PDFXCompliantPDFOnly	/PDFXCompliantPDFOnly	,
work_oavbptqpunch5jy27k3m3zb5yi	801	325	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	326	/PDFXNoTrimBoxError	/PDFXNoTrimBoxError	.
work_oavbptqpunch5jy27k3m3zb5yi	801	327	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	328	/PDFXTrimBoxToMediaBoxOffset	/PDFXTrimBoxToMediaBoxOffset	.
work_oavbptqpunch5jy27k3m3zb5yi	801	329	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	330	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	331	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	332	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	333	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	334	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	335	/PDFXSetBleedBoxToMediaBox	/PDFXSetBleedBoxToMediaBox	.
work_oavbptqpunch5jy27k3m3zb5yi	801	336	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	337	/PDFXBleedBoxToTrimBoxOffset	/PDFXBleedBoxToTrimBoxOffset	.
work_oavbptqpunch5jy27k3m3zb5yi	801	338	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	339	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	340	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	341	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	342	0.00000	0.00000	CD
work_oavbptqpunch5jy27k3m3zb5yi	801	343	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	344	/PDFXOutputIntentProfile	/PDFXOutputIntentProfile	.
work_oavbptqpunch5jy27k3m3zb5yi	801	345	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	346	None	none	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	347	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	348	/PDFXOutputConditionIdentifier	/PDFXOutputConditionIdentifier	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	349	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	350	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	351	/PDFXOutputCondition	/PDFXOutputCondition	.
work_oavbptqpunch5jy27k3m3zb5yi	801	352	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	353	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	354	/PDFXRegistryName	/PDFXRegistryName	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	355	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	356	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	357	/PDFXTrapped	/PDFXTrapped	NFP
work_oavbptqpunch5jy27k3m3zb5yi	801	358	/False	/False	:
work_oavbptqpunch5jy27k3m3zb5yi	801	359	/CreateJDFFile	/CreateJDFFile	,
work_oavbptqpunch5jy27k3m3zb5yi	801	360	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	361	/Description	/description	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	362	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	363	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	364	/CHS	/CHS	.
work_oavbptqpunch5jy27k3m3zb5yi	801	365	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	366	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	367	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	368	/CHT	/CHT	.
work_oavbptqpunch5jy27k3m3zb5yi	801	369	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	370	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	371	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	372	/DAN	/DAN	.
work_oavbptqpunch5jy27k3m3zb5yi	801	373	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	374	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	FEFF004200720075006700200069006e0064007300740069006c006c0069006e006700650072006e0065002000740069006c0020006100740020006f007000720065007400740065002000410064006f006200650020005000440046002d0064006f006b0075006d0065006e007400650072002000740069006c0020006b00760061006c00690074006500740073007500640073006b007200690076006e0069006e006700200065006c006c006500720020006b006f007200720065006b007400750072006c00e60073006e0069006e0067002e0020004400650020006f007000720065007400740065006400650020005000440046002d0064006f006b0075006d0065006e0074006500720020006b0061006e002000e50062006e00650073002000690020004100630072006f00620061007400200065006c006c006500720020004100630072006f006200610074002000520065006100640065007200200035002e00300020006f00670020006e0079006500720065002e	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	375	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	376	/DEU	/DEU	.
work_oavbptqpunch5jy27k3m3zb5yi	801	377	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	378	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	379	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	380	/ESP	/ESP	.
work_oavbptqpunch5jy27k3m3zb5yi	801	381	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	382	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	383	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	384	/FRA	/FRA	.
work_oavbptqpunch5jy27k3m3zb5yi	801	385	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	386	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	387	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	388	/ITA	/ITA	.
work_oavbptqpunch5jy27k3m3zb5yi	801	389	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	390	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	IN
work_oavbptqpunch5jy27k3m3zb5yi	801	391	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	392	/JPN	/JPN	.
work_oavbptqpunch5jy27k3m3zb5yi	801	393	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	394	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	395	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	396	/KOR	/KOR	.
work_oavbptqpunch5jy27k3m3zb5yi	801	397	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	398	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	399	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	801	400	/NLD	/NLD	.
work_oavbptqpunch5jy27k3m3zb5yi	801	401	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	801	402	Gebruik	Gebruik	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	403	deze	deze	JJ
work_oavbptqpunch5jy27k3m3zb5yi	801	404	instellingen	instellingen	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	405	om	om	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	406	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	407	PDF	PDF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	408	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	801	409	documenten	documenten	VBN
work_oavbptqpunch5jy27k3m3zb5yi	801	410	te	te	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	411	maken	maken	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	412	voor	voor	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	413	kwaliteitsafdrukken	kwaliteitsafdrukken	NNP
work_oavbptqpunch5jy27k3m3zb5yi	801	414	op	op	NN
work_oavbptqpunch5jy27k3m3zb5yi	801	415	desktopprinters	desktopprinter	NNS
work_oavbptqpunch5jy27k3m3zb5yi	801	416	en	en	IN
work_oavbptqpunch5jy27k3m3zb5yi	801	417	proofers	proofer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	801	418	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	802	1	De	De	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	2	gemaakte	gemaakte	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	3	PDF	PDF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	4	-	-	HYPH
work_oavbptqpunch5jy27k3m3zb5yi	802	5	documenten	documenten	VBN
work_oavbptqpunch5jy27k3m3zb5yi	802	6	kunnen	kunnen	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	7	worden	worden	JJ
work_oavbptqpunch5jy27k3m3zb5yi	802	8	geopend	geopend	NN
work_oavbptqpunch5jy27k3m3zb5yi	802	9	met	meet	VBD
work_oavbptqpunch5jy27k3m3zb5yi	802	10	Acrobat	Acrobat	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	11	en	en	IN
work_oavbptqpunch5jy27k3m3zb5yi	802	12	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	13	Reader	Reader	NNP
work_oavbptqpunch5jy27k3m3zb5yi	802	14	5.0	5.0	CD
work_oavbptqpunch5jy27k3m3zb5yi	802	15	en	en	NN
work_oavbptqpunch5jy27k3m3zb5yi	802	16	hoger	hoger	NN
work_oavbptqpunch5jy27k3m3zb5yi	802	17	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	802	18	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	803	1	/NOR	/NOR	NFP
work_oavbptqpunch5jy27k3m3zb5yi	803	2	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	3	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	JJ
work_oavbptqpunch5jy27k3m3zb5yi	803	4	>	>	NN
work_oavbptqpunch5jy27k3m3zb5yi	803	5	/PTB	/PTB	.
work_oavbptqpunch5jy27k3m3zb5yi	803	6	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	7	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	803	8	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	9	/SUO	/suo	FW
work_oavbptqpunch5jy27k3m3zb5yi	803	10	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	11	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	803	12	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	13	/SVE	/SVE	.
work_oavbptqpunch5jy27k3m3zb5yi	803	14	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	15	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	NNP
work_oavbptqpunch5jy27k3m3zb5yi	803	16	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	803	17	/ENU	/ENU	.
work_oavbptqpunch5jy27k3m3zb5yi	803	18	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	803	19	Use	use	VB
work_oavbptqpunch5jy27k3m3zb5yi	803	20	these	these	DT
work_oavbptqpunch5jy27k3m3zb5yi	803	21	settings	setting	NNS
work_oavbptqpunch5jy27k3m3zb5yi	803	22	to	to	TO
work_oavbptqpunch5jy27k3m3zb5yi	803	23	create	create	VB
work_oavbptqpunch5jy27k3m3zb5yi	803	24	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	803	25	PDF	PDF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	803	26	documents	document	NNS
work_oavbptqpunch5jy27k3m3zb5yi	803	27	for	for	IN
work_oavbptqpunch5jy27k3m3zb5yi	803	28	quality	quality	NN
work_oavbptqpunch5jy27k3m3zb5yi	803	29	printing	print	VBG
work_oavbptqpunch5jy27k3m3zb5yi	803	30	on	on	IN
work_oavbptqpunch5jy27k3m3zb5yi	803	31	desktop	desktop	NN
work_oavbptqpunch5jy27k3m3zb5yi	803	32	printers	printer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	803	33	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	803	34	proofers	proofer	NNS
work_oavbptqpunch5jy27k3m3zb5yi	803	35	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	804	1	Created	create	VBN
work_oavbptqpunch5jy27k3m3zb5yi	804	2	PDF	PDF	NNP
work_oavbptqpunch5jy27k3m3zb5yi	804	3	documents	document	NNS
work_oavbptqpunch5jy27k3m3zb5yi	804	4	can	can	MD
work_oavbptqpunch5jy27k3m3zb5yi	804	5	be	be	VB
work_oavbptqpunch5jy27k3m3zb5yi	804	6	opened	open	VBN
work_oavbptqpunch5jy27k3m3zb5yi	804	7	with	with	IN
work_oavbptqpunch5jy27k3m3zb5yi	804	8	Acrobat	Acrobat	NNP
work_oavbptqpunch5jy27k3m3zb5yi	804	9	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	804	10	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	804	11	Reader	Reader	NNP
work_oavbptqpunch5jy27k3m3zb5yi	804	12	5.0	5.0	CD
work_oavbptqpunch5jy27k3m3zb5yi	804	13	and	and	CC
work_oavbptqpunch5jy27k3m3zb5yi	804	14	later	later	RB
work_oavbptqpunch5jy27k3m3zb5yi	804	15	.	.	.
work_oavbptqpunch5jy27k3m3zb5yi	804	16	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	1	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	2	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	3	/Namespace	/namespace	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	4	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	5	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	6	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	7	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	8	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	9	Common	Common	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	10	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	11	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	12	1.0	1.0	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	13	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	14	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	15	/OtherNamespaces	/OtherNamespaces	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	16	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	17	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	18	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	19	/AsReaderSpreads	/AsReaderSpreads	,
work_oavbptqpunch5jy27k3m3zb5yi	805	20	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	21	/CropImagesToFrames	/CropImagesToFrames	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	22	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	23	/ErrorControl	/ErrorControl	.
work_oavbptqpunch5jy27k3m3zb5yi	805	24	/WarnAndContinue	/WarnAndContinue	.
work_oavbptqpunch5jy27k3m3zb5yi	805	25	/FlattenerIgnoreSpreadOverrides	/FlattenerIgnoreSpreadOverrides	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	26	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	27	/IncludeGuidesGrids	/IncludeGuidesGrids	,
work_oavbptqpunch5jy27k3m3zb5yi	805	28	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	29	/IncludeNonPrinting	/includenonprinte	VBG
work_oavbptqpunch5jy27k3m3zb5yi	805	30	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	31	/IncludeSlug	/IncludeSlug	,
work_oavbptqpunch5jy27k3m3zb5yi	805	32	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	33	/Namespace	/namespace	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	34	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	35	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	36	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	37	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	38	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	39	InDesign	InDesign	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	40	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	41	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	42	4.0	4.0	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	43	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	44	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	45	/OmitPlacedBitmaps	/OmitPlacedBitmaps	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	46	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	47	/OmitPlacedEPS	/OmitPlacedEPS	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	48	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	49	/OmitPlacedPDF	/OmitPlacedPDF	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	50	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	51	/SimulateOverprint	/SimulateOverprint	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	52	/Legacy	/Legacy	.
work_oavbptqpunch5jy27k3m3zb5yi	805	53	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	54	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	55	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	56	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	57	/AddBleedMarks	/AddBleedMarks	,
work_oavbptqpunch5jy27k3m3zb5yi	805	58	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	59	/AddColorBars	/AddColorBars	:
work_oavbptqpunch5jy27k3m3zb5yi	805	60	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	61	/AddCropMarks	/AddCropMarks	,
work_oavbptqpunch5jy27k3m3zb5yi	805	62	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	63	/AddPageInfo	/AddPageInfo	,
work_oavbptqpunch5jy27k3m3zb5yi	805	64	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	65	/AddRegMarks	/AddRegMarks	,
work_oavbptqpunch5jy27k3m3zb5yi	805	66	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	67	/ConvertColors	/convertcolors	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	68	/NoConversion	/NoConversion	,
work_oavbptqpunch5jy27k3m3zb5yi	805	69	/DestinationProfileName	/DestinationProfileName	.
work_oavbptqpunch5jy27k3m3zb5yi	805	70	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	71	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	72	/DestinationProfileSelector	/DestinationProfileSelector	NFP
work_oavbptqpunch5jy27k3m3zb5yi	805	73	/NA	/NA	.
work_oavbptqpunch5jy27k3m3zb5yi	805	74	/Downsample16BitImages	/Downsample16BitImages	,
work_oavbptqpunch5jy27k3m3zb5yi	805	75	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	76	/FlattenerPreset	/FlattenerPreset	.
work_oavbptqpunch5jy27k3m3zb5yi	805	77	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	78	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	79	/PresetSelector	/presetselector	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	80	/MediumResolution	/MediumResolution	.
work_oavbptqpunch5jy27k3m3zb5yi	805	81	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	82	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	83	/FormElements	/formelement	NNS
work_oavbptqpunch5jy27k3m3zb5yi	805	84	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	85	/GenerateStructure	/generatestructure	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	86	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	87	/IncludeBookmarks	/IncludeBookmarks	.
work_oavbptqpunch5jy27k3m3zb5yi	805	88	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	89	/IncludeHyperlinks	/includehyperlinks	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	90	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	91	/IncludeInteractive	/includeinteractive	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	92	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	93	/IncludeLayers	/IncludeLayers	,
work_oavbptqpunch5jy27k3m3zb5yi	805	94	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	95	/IncludeProfiles	/IncludeProfiles	.
work_oavbptqpunch5jy27k3m3zb5yi	805	96	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	97	/MultimediaHandling	/multimediahandling	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	98	/UseObjectSettings	/UseObjectSettings	.
work_oavbptqpunch5jy27k3m3zb5yi	805	99	/Namespace	/Namespace	.
work_oavbptqpunch5jy27k3m3zb5yi	805	100	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	101	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	102	Adobe	Adobe	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	103	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	104	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	105	CreativeSuite	CreativeSuite	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	106	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	107	(	(	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	108	2.0	2.0	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	109	)	)	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	110	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	111	/PDFXOutputIntentProfileSelector	/pdfxoutputintentprofileselector	NN
work_oavbptqpunch5jy27k3m3zb5yi	805	112	/NA	/NA	.
work_oavbptqpunch5jy27k3m3zb5yi	805	113	/PreserveEditing	/preserveedite	VBG
work_oavbptqpunch5jy27k3m3zb5yi	805	114	true	true	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	115	/UntaggedCMYKHandling	/untaggedcmykhandling	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	116	/LeaveUntagged	/leaveuntagged	PRP$
work_oavbptqpunch5jy27k3m3zb5yi	805	117	/UntaggedRGBHandling	/untaggedrgbhandle	VBG
work_oavbptqpunch5jy27k3m3zb5yi	805	118	/LeaveUntagged	/leaveuntagged	UH
work_oavbptqpunch5jy27k3m3zb5yi	805	119	/UseDocumentBleed	/UseDocumentBleed	,
work_oavbptqpunch5jy27k3m3zb5yi	805	120	false	false	JJ
work_oavbptqpunch5jy27k3m3zb5yi	805	121	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	122	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	123	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	124	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	125	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	126	setdistillerparams	setdistillerparam	NNS
work_oavbptqpunch5jy27k3m3zb5yi	805	127	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	128	<	<	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	129	/HWResolution	/HWResolution	NNP
work_oavbptqpunch5jy27k3m3zb5yi	805	130	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	131	2400	2400	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	132	2400	2400	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	133	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	134	/PageSize	/PageSize	.
work_oavbptqpunch5jy27k3m3zb5yi	805	135	[	[	-LRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	136	612.000	612.000	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	137	792.000	792.000	CD
work_oavbptqpunch5jy27k3m3zb5yi	805	138	]	]	-RRB-
work_oavbptqpunch5jy27k3m3zb5yi	805	139	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	140	>	>	XX
work_oavbptqpunch5jy27k3m3zb5yi	805	141	setpagedevice	setpagedevice	NN