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...
| Autors principals: | , , , , , , |
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| Format: | Article |
| Idioma: | English English |
| Publicat: |
Elsevier BV
2021
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| Matèries: | |
| Accés en línia: | 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 |
Internet
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.pdfhttps://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