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 …

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

Diabetic Retinopathy (DR) is the most common cause of eyesight loss that affects millions of
people worldwide. Although there are recognized screening procedures for detecting the …

Objective: Diabetic Retinopathy (DR) is a retinal disease that can cause damage to blood
vessels in the eye, that is the major cause of impaired vision or blindness, if not treated early …

Diabetic Retinopathy (DR) is a micro vascular complication caused by long-term diabetes
mellitus. Unidentified diabetic retinopathy leads to permanent blindness. Early identification …

Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease
detection by using computer-aided diagnosis from fundus image has emerged as a new …

Diabetic Retinopathy (DR) is one of the major causes of visual impairment and blindness
across the world. It is usually found in patients who suffer from diabetes for a long period …

Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …

This paper presents an automated early diabetic retinopathy detection scheme from color
fundus images through improved segmentation strategies for optic disc and blood vessels …

Proliferative diabetic retinopathy (PDR) is a condition that carries a high risk of severe visual
impairment. The hallmark of PDR is the growth of abnormal new vessels. In this paper, an …