The author introduces a novel population model for retinal fundus images that effectively disentangles patient attributes from technical factors, enabling controllable and realistic image generation through a novel disentanglement loss based on distance correlation.
Retinal fundus image disentanglement enables controllable and realistic image generation by effectively separating patient attributes from technical factors.