Color Fundus

Color fundus imaging is a crucial tool in ophthalmology, primarily used for automated detection and grading of retinal diseases like diabetic retinopathy and glaucoma. Current research heavily utilizes deep learning models, including convolutional neural networks (CNNs), Vision Transformers, and generative adversarial networks (GANs), to improve the accuracy and efficiency of image analysis tasks such as vessel segmentation, lesion detection, and disease classification. These advancements offer significant potential for improving the speed and accessibility of diagnosis, particularly in resource-constrained settings, and for facilitating large-scale population screening programs.