SSLVNet: an explainable multi-modal hybrid framework integrating self-supervised learning and vision transformers for multi-label classification of retinal diseases
Introduction Retinal Diseases are the main reason for vision loss and blindness worldwide. Initial identification of retinal abnormalities is essential for avoiding severe retinal-related complications and improving patient results. Traditional retinal disease diagnosis mainly depends on manual checks of retinal fundus...