ResNet and VGG models achieve 95-98% average accuracy distinguishing COVID-19 from normal lung images on X-ray and CT datasets using transfer learning from pre-trained networks.
& Others CVR-Net: A deep convolutional neural network for coronavirus recogni- tion from chest radiography images.ArXiv Preprint ArXiv:2007.11993
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A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
ResNet and VGG models achieve 95-98% average accuracy distinguishing COVID-19 from normal lung images on X-ray and CT datasets using transfer learning from pre-trained networks.