Deep learning has become the method of choice to tackle real-world problems in different
domains, partly because of its ability to learn from data and achieve impressive performance …

Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …

Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …

Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …

The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …

Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-
reversible damage to retina blood vessels. DR is a leading cause of blindness if not …

Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of
permanent blindness in the working-age population. Automatic grading of DR and DME …