Paper Title
Diagnosis Of Diabetic Retinopathy

Retinopathy, caused by severe diabetes is referred to as diabetic retinopathy. It can be viewed as diabetic retinopathy .It can viewed as an ocular manifestation of diabetes, which is a systemic disease. Here, the patient’s vision gets blurred or distorted, that can be considered as its symptoms and may eventually lead to blindness. Even though the complete cure of diabetes is not possible. Diabetic Retinopathy can be successfully treated to an extend by laser surgery and strict glucose control. But, in order to treat it effectively, early detection is necessary. Exudates in the retina are opacities that results from the escape of plasma and white blood cells from defective blood vessels and these are taken as the primitive signs of diabetic retinopathy .Retinal images are crucial and essential for the diagnosis of the disease. This paper proposes a new automated method in Matlab for exudates detection. This method automatically detects the exudates and hence diagnoses the disease. The diabetic retinopathy is classified into two based on the presence of exudates using NN (Neural Network) classifier. The use of NN classifier increases the accuracy and efficiency of the system when compared with the existing systems. The results of this diagnose method have been successful and the sensitivity and recognition for exudates detection was obtained. Keywords— Classifier, Diabetic Retinopathy, Exudates, Optic Disc, Retinal Image.