Multimodal Deep Learning For Eye Disease Recognition From Fundus And OCT Images With Synthetic OCT Generation
This study synthesizes 3D OCT from fundus images using three generative paradigms using three generative paradigms-a 3D GAN (DCGAN/WGAN-GP style), a 3D VAEGAN, and a fundus-conditioned latent diffusion model-and integrates the generated volumes into an EyeMoST- based uncertainty-aware fusion framework.