Fig. 2
From: Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Examples of applications of GAN in ophthalmology image domains. a Post-intervention prediction for decompression surgery for thyroid ophthalmopathy [15] and anti-vascular endothelial growth factor (VEGF) therapy for neovascular age-related macular degeneration [66]. b Denoising in fundus photography [53] and peripapillary optical coherence tomography (OCT) [16]. c Super-resolution for optic nerve head photography [56]. d Domain transfer for fundus photography to angiography [62] and ultra-widefield to classic fundus photography (re-analysis in this work) [63]. e Data augmentation for ocular surface images [46] and anterior segment OCT [82]. f Segmentation for corneal sub basal nerves in in vivo confocal microscopy images [37]. Most images were generated according to publicly available datasets and the methods of each study (some cases are based on our own dataset)