Abstract
Artificial intelligence (AI) has proven to be a tremendous success in medical imaging diagnosis with minimal detection time and less human effort. COVID-19 disease is spreading rapidly across the globe and already has more than 13 million confirmed cases according to Johns Hopkins University report. AI techniques have shown promising results for the detection of COVID-19 and help medical personnel. This chapter aims to review different kinds of machine learning techniques, including deep learning, transfer learning, and deep convolution neural network models, namely ResNet-50, VGG-19, Inception-v3, MobileNet, and Inception-ResNet-v2 for image recognition and image classification and their performance analysis for the detection of COVID-19 using a large open-access dataset of real-time chest X-ray images that are publicly available and open source.
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