ABSTRACT
Diabetic retinopathy (DR) is a vision threatening medical condition in which the retina of the diabetic patients gets damaged to an enormous amount. It is a secondary disease caused in the people already suffering from Diabetes Mellitus. It has become one of the most leading and recurrent cases of blindness among children and adults who have been suffering from diabetes for an extremely long period of time. The strong reasons and associations behind DR are longer duration of diabetes, poor blood pressure and glycemic control. These statistics point out the substantial growth of DR and the global health burden caused by it. Diabetic Retinopathy, also goes by the name of diabetic eye disease caused to the people with high blood sugar level that badly affects the retina’s blood vessels by swelling and leaking. In some cases, they might also restrict the blood to pass through. The retina gets badly damaged by diabetes mellitus. The blindness happens due to this prolonged medical condition. In this project grading has been done to know the severity of diabetic retinopathy i.e. whether it is mild, moderate, normal, proliferate or severe in the fundus images. An automated approach that uses image processing to predict accurately the presence of diabetic retinopathy. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
.png)
.png)
