Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Segmentation is an essential requirement to accurately access diabetic retinopathy (DR)
and it becomes extremely time-consuming and challenging to detect manually. As a result …

Diabetic retinopathy is a leading cause of blindness among working-age adults. Early
detection of this condition is critical for good prognosis. In this paper, we demonstrate the …

With the emergence of unmanned plane, autonomous vehicles, face recognition, and
language processing, the artificial intelligence (AI) has remarkably revolutionized our …

Obtaining the complete segmentation map of retinal lesions is the first step toward an
automated diagnosis tool for retinopathy that is interpretable in its decision-making …

Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels
and has become the most common cause of vision loss worldwide. It has become a severe …

Curability of diabetic retinopathy (DR) abnormalities highly rely on regular monitoring, early-
stage diagnosis and timely treatment. Detection and analysis of variation in eye images can …

Retinal microaneurysms (MAs) are the earliest clinical sign of diabetic retinopathy disease.
Detection of MAs is crucial for the early diagnosis of diabetic retinopathy and prevention of …

The accurate diagnosis of fundus disease can effectively reduce the disease's further
deterioration and provide targeted treatment plans for patients. Fundus image classification …

Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …