id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-330239-l8fp8cvz	Oyelade, O. N.	Deep Learning Model for Improving the Characterization of Coronavirus on Chest X-ray Images Using CNN	2020-11-03		.txt	text/plain	6444	325	50	The proposed model is then applied to the COVID-19 X-ray dataset in this study which is the National Institutes of Health (NIH) Chest X-Ray dataset obtained from Kaggle for the purpose of promoting early detection and screening of coronavirus disease. Several studies [4, 5, 6, 78, 26, 30] and reviews which have adapted CNN to the task of detection and classification of COVID-19 have proven that the deep learning model is one of the most popular and effective approaches in the diagnosis of COVD-19 from digitized images. In this paper, we propose the application of deep learning model in the category of Convolutional Neural Network (CNN) techniques to automate the process of extracting important features and then classification or detection of COVID-19 from digital images, and this may eventually be supportive in overcoming the issue of a shortage of trained physicians in remote communities [24] .	./cache/cord-330239-l8fp8cvz.txt	./txt/cord-330239-l8fp8cvz.txt