Attention-based VGG-16 model for COVID-19 chest X-ray image classification

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 51; no. 5; pp. 2850 - 2863
• Main Authors: Sitaula, Chiranjibi, Hossain, Mohammad Belayet
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2021; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial Intelligence Applications for COVID-19; Chest; Classification; Computed tomography; Computer Science; Control; Convolution; Coronaviruses; COVID-19; Deep learning; Detection; Diagnosis; Image classification; Machine learning; Machines; Manufacturing; Mechanical Engineering; Medical imaging; Modules; Performance evaluation; Polymerase chain reaction; Prediction; Processes; COVID-19; Deep learning; SARS-CoV2; Chest x-rays; Classification

Computer-aided diagnosis (CAD) methods such as Chest X-rays (CXR)-based method is one of the cheapest alternative options to diagnose the early stage of COVID-19 disease compared to other alternatives such as Polymerase Chain Reaction (PCR), Computed Tomography (CT) scan, and so on. To this end, the...