Survey Paper - AUTOMATED DIABETIC RETINOPATHY DETECTION SYSTEM

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Authors: Kshiteej Rajure
Cited by: 0

Abstract

Diabetic retinopathy (DR) is a complication of diabetes that affects the retina, the light-sensitive layer at the back of the eye, due to prolonged elevated blood glucose levels. Recent advances in artificial intelligence (AI) have enabled automated detection and grading of DR at early stages. The disease progresses in phases, starting with non-proliferative diabetic retinopathy (NPDR), characterized by microaneurysms, hemorrhages, and cotton wool spots, which may cause diabetic macular edema—a leading factor in vision loss. In severe cases, proliferative diabetic retinopathy (PDR) develops, where abnormal blood vessels form on the retina, potentially causing bleeding into the vitreous, retinal detachment, or glaucoma, resulting in significant visual impairment or blindness

Fields of Study & Subjects

Retinal Imaging and Analysis Retinal Diseases and Treatments Ophthalmology and Visual Health Research

Publication details

Journal / source
Figshare
Publication date
1 January 2026