id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-352853-9a7fi46y	Amyar, Amine	Multi-task Deep Learning Based CT Imaging Analysis For COVID-19 Pneumonia: Classification and Segmentation	2020-10-08		.txt	text/plain	5812	341	57	title: Multi-task Deep Learning Based CT Imaging Analysis For COVID-19 Pneumonia: Classification and Segmentation In this work, we propose a new multitask deep learning model to jointly identify COVID-19 patient and segment COVID-19 lesion from chest CT images. In this work, we propose a new multitask deep learning model to jointly identify COVID-19 patient and segment COVID-19 lesion from chest CT images. For the detection of COVID-19 and the segmentation of the infection at the lung level, several deep learning works on chest X-ray images and CT scans have emerged and reported in [34] . In this work, we propose a novel multi-task deep learning model for jointly detecting COVID-19 image and segmenting lesions. We have developed a new deep learning multi-task model to jointly detect COVID-19 CT images and segment the regions of infection.	./cache/cord-352853-9a7fi46y.txt	./txt/cord-352853-9a7fi46y.txt