Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images-Reference-Cited by-同舟云学术

Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images

Published:2022-01-11 Issue:5 Volume:14 Page:1752-1772
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Tahir Anas M.,Qiblawey Yazan,Khandakar Amith,Rahman Tawsifur,Khurshid Uzair,Musharavati Farayi,Islam M. T.,Kiranyaz Serkan,Al-Maadeed Somaya,Chowdhury Muhammad E. H.^ORCID

Funder

Qatar University

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-021-09955-1.pdf

Reference53 articles.

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2. Kumar S, Maurya VK, Prasad AK, Bhatt ML, Saxena SK. Structural, glycosylation and antigenic variation between 2019 novel coronavirus (2019-nCoV) and SARS coronavirus (SARS-CoV). VirusDisease. 2020;31(1):13–21.

3. WHO Coronavirus (COVID-19) Dashboard [Internet]. World Health Organization. 2021 [cited 26 October 2021]. Available from: https://covid19.who.int/

4. Mahase E. Coronavirus: covid-19 has killed more people than SARS and MERS combined, despite lower case fatality rate. BMJ. 2020;368:m641.

5. WHO. WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020. 2020. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.

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