Detection Of Diabetic Retinopathy Using Artificial Intelligence

Abstract: The number of diabetic patients is increasing rapidly every year all around the world and these patients suffer from a wide range of physical conditions directly associated with long-term diabetes. Diabetic Retinopathy DR affects the eyes of majority of diabetes patients to some degree. Starting from blurred vision, the effects of DR can extend to permanent blindness. The traditional detection process of DR involves an ophthalmologist who takes enhanced pictures of the retina and looks at it for any kind of abnormalities within them, which by description is a time consuming and error-prone procedure. To avoid this we can employ machine learning techniques that will automate the detection process as well as provide fast and reliable results. Using a deep learning technique this paper determines the presence and severity of DR in diabetic individuals by analyzing the pictures of their retina.

Keywords: Diabetic Retinopathy (DR), Convolutional Neural Network (CNN),Micro Aneurysms (MA)