Enhanced diabetic retinopathy detection via multimodal fusion of fundus imaging features and clinical demographic information using verifiable convolutional neural network.
Traditional systems of ocular disease diagnosis and many deep learning-based systems are limited in their practice to analyzing fundus images from a single eye, often using raw, unprocessed data. This fails to include the critical correlation between bilateral eyes, has several issues such as low image contrast, noise,...