PREDICTION OF DIABETIC RETINOPATHY USING MULTI LAYER PERCEPTRON.

Diabetic retinopathy (DR) is the prime root of irreversible blindness in the modern world. This obstacle has the probability to affect all patients with diabetes, regardless of its type. The patients possessing diabetes are mostly unaware of early vision loss and may not receive treatment before it is too late. These diabetics are 25 times more likely than the general population to become blind. In developed countries, the leading cause of blindness in adults under 75 years is diabeticeye disease. This paper utilizes a feature-based technique for detection of exudates in various color fundus images by subjecting them to a few pre-processing techniques. These pre-processed imagesare then applied for feature extraction and utilized for classification purpose. This classification utilizes a Multi-Layer Perceptron classifier for the identification ofthe patients possessing DR. Thereby,reducing the burden on ophthalmologistsand aiding in easier detection of the disease.