Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …

The Segment Anything Model (SAM) has recently gained popularity in the field of image
segmentation. Thanks to its impressive capabilities in all-round segmentation tasks and its …

Diabetic retinopathy (DR) is a diabetes complication that affects the eye and can cause
damage from mild vision problems to complete blindness. It has been observed that the eye …

Diabetic retinopathy (DR) is an eye disease caused by retinal damage induced by the long-
term illness of diabetes mellitus. In the early stages, DR may show no symptoms or only …

Deep learning approaches play a crucial role in computer-aided diagnosis systems to
support clinical decision-making. However, developing such automated solutions is …

Interpretability methods support the transparency necessary to implement, operate and
modify complex deep learning models. These benefits are becoming increasingly …

Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder
characterized by high blood sugar. Diabetes complications are leading to Diabetic …

The rapid spread of COVID-19 across the globe since its emergence has pushed many
countries' healthcare systems to the verge of collapse. To restrict the spread of the disease …

The coronavirus pandemic is spreading around the world. Medical imaging modalities such
as radiography play an important role in the fight against COVID-19. Deep learning (DL) …

Introduction Reliable computer diagnosis of diabetic retinopathy (DR) is needed to rescue
many with diabetes who may be under threat of blindness. This research aims to detect the …