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2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)
Timely and accurate screening/testing is crucial to fighting COVID-19. Compared to commonly used reversetranscriptase polymerase chain reaction (RT-PCR), chest radiography imaging (X-ray) is also a reliable, practical and rapid method to diagnose and assess COVID-19. In this paper, two types of deep learning models, namely, Convolutional Neural Networks (CNN) and Residual Neural Networks (ResNet) have been designed and tested for accurate diagnosis of COVID-19 with chest X-ray images.doi:10.1109/mcna50957.2020.9264294 fatcat:raje7ouiz5fpvde65w4fmpleja