Self-supervised approach for diabetic retinopathy severity detection using vision transformer

Vision transformer-based paradigm for diabetic retinopathy (DR) severity detection is presented by undertaking a scalable learning approach for model building and experimental results showcase that SSL with vision transformer achieves higher performance when pre-trained on large corpus of unlabeled data.