Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …

Artificial intelligence is widely applied to automate Diabetic retinopathy diagnosis. Diabetes-
related retinal vascular disease is one of the world's most common leading causes of …

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 …

In the field of ophthalmology, diabetic retinopathy (DR) is a major cause of blindness. DR is
based on retinal lesions including exudate. Exudates have been found to be one of the …

Presence of exudates on a retina is an early sign of diabetic retinopathy, and automatic
detection of these can improve the diagnosis of the disease. Convolutional Neural Networks …

Background Convolution neural networks have been considered for automatic analysis of
fundus images to detect signs of diabetic retinopathy but suffer from low sensitivity. Methods …

Diabetic retinopathy (DR) is a complication of diabetes that exists throughout the world. DR
occurs due to a high ratio of glucose in the blood, which causes alterations in the retinal …

The diabetic retinopathy is the main reason of vision loss in people. Medical experts
recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy …

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 …