Deep Learning Empowered Fight Against COVID-19: A Survey-Reference-Cited by-同舟云学术

Deep Learning Empowered Fight Against COVID-19: A Survey

Published:2022 Issue: Volume: Page:251-264
ISSN:1860-949X
Container-title:Next Generation Healthcare Informatics
language:
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Author:

Chowdhary Chiranji Lal,Channi Harpreet Kaur

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2416-3_14

Reference76 articles.

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2. WHO. (2020). https://www.who.int/emergencies/diseases/novel-coronavirus-2019. Accessed on May 24, 2020.

3. Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., Iosifidis, C., & Agha, R. (2020). World health organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery.

4. Zhang, Z., Shen, Y., Wang, H., Zhao, L., & Hu, D. (2020). High-resolution computed tomographic imaging disclosing COVID-19 pneumonia: A powerful tool in diagnosis. The Journal of Infection.

5. Zowalaty, M. E., & Järhalt, J. D. (2020). From SARS to COVID-19: A previously unknown SARS-related coronavirus (SARS-CoV-2) of pandemic potential infecting humans–call for a one health approach. One Health, 9(100124), 10–1016.

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