Dual contrastive learning for synthesizing unpaired fundus fluorescein angiography from retinal fundus images.

When compared with several popular image synthesis approaches, our approach not only produced higher-quality FFA images with clearer vascular structures and pathological features, but also achieved the best FID, KID, and LPIPS scores in the quantitative evaluation.