A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection

A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection

Chest diseases can be dangerous and deadly. They include many chest infections such as pneumonia, asthma, edema, and, lately, COVID-19. COVID-19 has many similar symptoms compared to pneumonia, such as breathing hardness and chest burden. However, it is a challenging task to differentiate COVID-19 f...

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Bibliographic Details
Main Authors:	Najam-ur Rehman, Muhammad Sultan Zia, Talha Meraj, Hafiz Tayyab Rauf, Robertas Damaševičius, Ahmed M. El-Sherbeeny, Mohammed A. El-Meligy
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	Applied Sciences
Subjects:	chest diseases COVID-19 transfer learning deep learning self-activation X-ray imaging
Online Access:	https://www.mdpi.com/2076-3417/11/19/9023

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