A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation

no code implementations • 29 Jul 2019 • Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi

In this paper, we use Generative Adversarial Networks (GANs) for synthesizing high quality retinal images, along with the corresponding semantic label-maps, to be used instead of real images during the training process.

Image-to-Image Translation Retinal Vessel Segmentation