CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images
Description
We present a novel algorithm that is able to generate deep synthetic COVID-19 pneumonia CT scan slices using a very small sample of positive training images in tandem with a larger number of normal images. This generative algorithm produces images of
