Abstract: Diabetic Retinopathy (DR) is an eye abnormality caused due to diabetes. As the sickness progresses it results in distortion and blurred vision. One of the most diabetes complication is Diabetic Retinopathy (DR) that causes major loss of vision or blindness. In present day medical science, estimation of images has become key instrument for exact identification of disease. So we have designed a computational model for predicting Diabetic Retinopathy (DR) status which is based on retinal image and neural network. Our computational model has been consisting of a feature extraction phase and a classification phase. In feature extraction phase we have extracted the most appropriate features from digital fundus images by Blood Vessels and Micro aneurysms detection. Finally, we have used CNN to predict the Diabetic Retinopathy (DR).

We used CNN (Convolutional Neural Network) Algoritham ,Deep Learning ,Python.

| DOI: 10.17148/IARJSET.2022.9306