The blindness happens due to this prolonged medical condition. The retina gets badly damaged by diabetes mellitus. In some cases, they might also restrict the blood to pass through. 2009).ĭiabetic 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 Indian urban population, the prevalence of diabetic retinopathy is found to be 18% with men at a higher risk (Raman et al. These statistics point out the substantial growth of DR and the global health burden caused by it. The strong reasons and associations behind DR are longer duration of diabetes, poor blood pressure and glycemic control. Approximately 93 million people have been reported to suffer from DR, 17 million people are targets of proliferative DR, whereas diabetic macular edema is prevalent in 21 million people worldwide (Rathmann and Giani 2004). 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. It is a secondary disease caused in the people already suffering from Diabetes Mellitus. For grading using exudates, support vector machine and K-Nearest neighbor show the highest accuracy of 92.1% and for grading using micro aneurysms, decision tree shows the highest accuracy of 99.9% in prediction of severity levels of the disease.ĭiabetic retinopathy (DR) is a vision threatening medical condition in which the retina of the diabetic patients gets damaged to an enormous amount. The grading via exudates is done based upon their distance from macula whereas grading via micro aneurysms is done by calculating their count. The research is carried out in two segments one for exudates and another for micro aneurysms. An automated approach that uses image processing, features extraction and machine learning models to predict accurately the presence of the exudates and micro aneurysms which can be used for grading has been proposed. whether it is mild, moderate or severe using exudates and micro aneurysms in the fundus images. In the proposed work, grading has been done to know the severity of diabetic retinopathy i.e. Both publicly available and real time datasets of colored images captured by fundus camera have been used for the empirical analysis. It has been observed that early detection of exudates and microaneurysms may save the patient’s vision and this paper proposes a simple and effective technique for diabetic retinopathy. Diabetic retinopathy is identified by red spots known as microanuerysms and bright yellow lesions called exudates. Higher sugar levels in blood leads to damage of blood vessels in eyes and may even cause blindness. Diabetic Retinopathy is an eye disorder that affects people suffering from diabetes.
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