ABSTRACT
The corona virus is one of the widespread diseases affected globally. The corona virus was first found in Wuhan, China in December 2019. The disease caused by the corona virus is named Covid-19. Covid-19 can be diagnosed by laboratory testing and chest radiography method. Due to limitations of laboratory testing methods like RT-PCR (Reverse Transcript polymerase Chain Reaction) for Covid-19 detection, medical image-based techniques have been proposed by various researchers. In this paper, various papers were reviewed that used machine learning and deep learning methods from Chest X-rays and chest CT for Covid-19 diagnosis. The overall performance of these methods is measured in terms of accuracy, sensitivity, specificity, and F1 score. © 2022 IEEE.