Csrgan: Medical Image Super-Resolution Using A Generative Adversarial Network

摘要

Super-resolution medical image is vital for doctor’s diagnosis and quantitative analysis. In this work we propose a novel super-resolution generative adversarial network which combine conditional GAN (CGAN) and SRGAN, refer to it as CSRGAN to generate sup