Figure 3.

Representative synthetic result of subtle abnormal fundus photographs and angiographs. Image pairs of fundus photographs with subtle abnormal changes and angiographies with leakage spots. CycleEBGAN learned subtle features from fundus photographs better than CycleGAN, and generated images similar to real angiographs. While Pix2Pix showed excellent performance in transforming these subtle features, it generated abnormal optic discs and vessels. CycleEBGAN = energy-based cycle-consistent adversarial networks, CycleGAN = cycle-consistent adversarial networks.