Deep learning based detection of COVID-19 from chest X-ray images

• Published in: Multimedia tools and applications Vol. 80; no. 21-23; pp. 31803 - 31820
• Main Authors: Guefrechi, Sarra, Jabra, Marwa Ben, Ammar, Adel, Koubaa, Anis, Hamam, Habib
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2021; Springer Nature B.V
• Subjects: Artificial intelligence; Chest; Computer Communication Networks; Computer Science; Coronaviruses; COVID-19; Data Structures and Information Theory; Deep learning; Disease transmission; Feature extraction; Image classification; Machine learning; Multimedia Information Systems; Nondestructive testing; Pandemics; Random noise; Special Purpose and Application-Based Systems; Viral diseases; Deep learning; COVID-19; CNN; Convolution Neural Network; Chest X-ray

The whole world is facing a health crisis, that is unique in its kind, due to the COVID-19 pandemic. As the coronavirus continues spreading, researchers are concerned by providing or help provide solutions to save lives and to stop the pandemic outbreak. Among others, artificial intelligence (AI) ha...