Detection and Classification of Early Stage Diabetic Retinopathy using Artificial Intelligence and Image Processing

Abstract

Diabetic retinopathy is the term used to describe the damage to the blood vessels in the retina of the human eye. The symptoms of diabetic retinopathy are blurriness, difficulty in vision and even blindness can occur. The blood vessels in the retina of the human eye have been damaged over time, which has an impact on the person’s ability to see. It is a cumulative problem in the modern world. Diabetic retinopathy has four stages, including mild, moderate, and severe non proliferative and proliferative. To reduce the effects of diabetic retinopathy are early diagnosis is necessary. Thus, by using artificial intelligence and image processing, the early stage of diabetic retinopathy can be detected. This leads to faster and easier screening of disorder for both the patients and ophthalmologists.