Learning a low dimensional manifold of real cancer tissue with PathologyGAN

Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan

Application of deep learning in digital pathology shows promise on improving disease diagnosis and understanding. We present a deep generative model that learns to simulate high-fi…