Automatic detection of diabetic retinopathy using image processing and data mining techniques

Diabetic Retinopathy is a disease of retina which affects patients with diabetes mellitus and it is a main reason for blindness. It is a disease in which the retinal blood vessels swell. This damages the retina of eye and may lead to blindness if the level of diabetes is very high. The most effective treatment is early detection through regular screenings. Automatic screening of these images would help the doctors to easily detect the patient´s condition in more accurate way. This emphasizes on determination of retinal images using appropriate image processing and data mining techniques. With this we can easily classify normal and abnormal images of retina this will reduce the number of reviews for the doctors.