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

Background: Having several applications in medicine, and in ophthalmology in particular,
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …

Diabetic retinopathy (DR), which is seen in approximately one-third of diabetes patients
worldwide, leads to irreversible vision loss and even blindness if not diagnosed and treated …

Diabetic macular edema (DME) is a common vision threatening complication of diabetic
retinopathy. In a large scale screening environment DME can be assessed by detecting …

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 …

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 …

Diabetic retinopathy (DR) is an eye disease that victimize the people suffering from diabetes
from many years. The severe form of DR results in form of the blindness that can initially be …

Diabetic retinopathy, an asymptomatic complication of diabetes, is one of the leading causes
of blindness in the world. The exudates, abnormal leaked fatty deposits on retina, are one of …

Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …

Exudate detection is an essential task for computer-aid diagnosis of diabetic retinopathy
(DR), so as to monitor the progress of DR. In this paper, deep convolutional neural network …