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The proposed network architecture for COVID-19 lesion localization. The encoder-decoder and the patch discriminator work together to remove potential COVID-19 lesions from input CT slices. Shallow layers of the pre-trained ResNet-18 are used to perform low-level feature match between input and output to increase the image quality of the generated CT slices. Another ResNet-18 is used to classify the localization maps.
