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RetinaGAN framework in the case of vessel segmentation. A fundus image constitutes a real pair with a manual vessel segmentation, and a fake pair with a vessel segmentation generated from the generator. A discriminator is trained to output a probability map for the vessel segmentation being real. Varying sizes of the probability map were experimented from pixel level to image level
