கண் நோய்க்குறியியல் சர்வதேச இதழ்

Diabetic Retinopathy Detection using Artificial Intelligence and Machine Learning Approach-A Research

Kumar Abhishek, Mansi Bhandari, Richa Gupta* , Jawed Ahmed and Sufian Badar

In the modern world, diabetes affects people of almost all ages frequently. A rise in blood sugar levels above the normal limit is a symptom of diabetes. Long-term diabetes damages the tiny blood vessels in the light-sensitive tissue at the back of the retina through micro aneurysms, hemorrhages and neovascularization, leading to diabetic retinopathy. The initial diagnosis of diabetic retinopathy is challenging because it necessitates superior retinal scans and a qualified ophthalmologist for its study, especially in remote areas where people lack access to such qualified ophthalmologists and cutting-edge technology. Determining the severity of Diabetic Retinopathy (DR) using deep learning algorithms and a variety of classifiers is thus a novel strategy used in this research.