Bridging pandemics and pixels: a comprehensive bibliometric analysis of deep learning applications in COVID-19 detection

Bridging pandemics and pixels: a comprehensive bibliometric analysis of deep learning applications in COVID-19 detection

The world has been significantly impacted by the global pandemic of COVID19, leading researchers to explore various methods for detecting the virus. Deep learning (DL) technologies have emerged as pivotal tools in detecting and managing the virus. This review article aims to provide a comprehensive...

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Bibliographic Details
Main Authors: Che Daud, Mohd. Zamzuri, Ahmad Zaiki, Farah Wahida, Che Azemin, Mohd. Zulfaezal
Format: Article
Language:English
Published: Global Academic Excellence (M) Sdn Bhd 2024
Subjects:
R Medicine (General)
T Technology (General)
Online Access:http://irep.iium.edu.my/111532/1/111532_Bridging%20pandemics%20and%20pixels.pdf
http://irep.iium.edu.my/111532/
http://www.jistm.com/archived.asm?dataid=583&iDisplayStart=0&aaSorting=&isSearchDetail=1&dataidExtend=6882&iDisplayStartExtend=0&aaSortingExtend=&isSearchDetailExtend=1
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English

Internet

http://irep.iium.edu.my/111532/1/111532_Bridging%20pandemics%20and%20pixels.pdf
http://irep.iium.edu.my/111532/
http://www.jistm.com/archived.asm?dataid=583&iDisplayStart=0&aaSorting=&isSearchDetail=1&dataidExtend=6882&iDisplayStartExtend=0&aaSortingExtend=&isSearchDetailExtend=1

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