Table 6 Summary of literature review for post-intervention prediction task using GAN in ophthalmology imaging domains
From: Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Publication | Basic technique | Domain | Intervention | Summary |
|---|---|---|---|---|
Yoo et al. [15] | Conditional GAN, CycleGAN | Periorbital facial images | Orbital decompression surgery | The developed model transformed preoperative facial input images into predicted postoperative images for orbital decompression for thyroid-associated ophthalmopathy |
Liu et al. [66] | Pix2pix (conditional GAN) | Retinal OCT | Intravitreal anti-vascular endothelial growth factor injection | The model generated individualized post-therapeutic OCT images that could predict the short-term response of treatment for age-related macular degeneration |
Lee et al. [67] | Conditional GAN (multi-channel inputs) | Retinal OCT (with fluorescein angiography and indocyanine green angiography) | Intravitreal anti-vascular endothelial growth factor injection | The trained model generated post-treatment optical coherence tomography (OCT) images of neovascular age-related macular degeneration |