Prolonged Diabetes Case Study

Diabetes is a condition of increase in the blood sugar level higher than the normal range. Prolonged diabetes damages the small blood vessels in the retina resulting in diabetic retinopathy (DR). DR progresses with time without any noticeable symptoms until the damage has occurred. Patients with diabetes are more likely to develop eye problems such as cataracts and glaucoma, but the disease affecting the retina is the main threat to vision. DR can be managed using available treatments, which are effective if diagnosed early. The fundus image of healthy and defective eyes with lesions are obtained from the Diaretdb1 database which are initially preprocessed followed by Features extraction segmentation using morphological open and close operation
and then classified using neural network, Exudates are detected and are classified into different stages using MATLAB.

Keywords: Diabetic retinopathy, exudates , neural network classifier.