Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images

The novel coronavirus (COVID-19) could be described as the greatest human challenge of the 21st century. The development and transmission of the disease have increased mortality in all countries. Therefore, a rapid diagnosis of COVID-19 is necessary to treat and control the disease. In this paper, a...

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Bibliographic Details

Main Authors:	Sobhan Sheykhivand, Zohreh Mousavi, Sina Mojtahedi, Tohid Yousefi Rezaii, Ali Farzamnia, Saeed Meshgini, Ismail Saad
Format:	Article
Language:	en en
Published:	Elsevier BV 2021
Subjects:	R Medicine (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/26764/1/Developing%20an%20efficient%20deep%20neural%20network%20for%20automatic%20detection%20of%20COVID-19%20using%20chest%20X-ray%20images.pdf https://eprints.ums.edu.my/id/eprint/26764/2/Developing%20an%20efficient%20deep%20neural%20network%20for%20automatic%20detection%20of%20COVID-19%20using%20chest%20X-ray%20images.pdf https://eprints.ums.edu.my/id/eprint/26764/ https://doi.org/10.1016/j.aej.2021.01.011
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