A Novel Approachfor the Diagnosis of Diabetic Retinopathy using Convolutional Neural Network

Diabetic Retinopathy (DR) is the influence of diabetes on the eye. It is the number one eye disease that causes blindness. Patients with diabetes are more likely to get influenced under such disease as they grow older. Early indications of DR are the appearance of microaneurysms, hemorrhages and exudates. There are no early indications for Diabetic Retinopathy as patients do not suffer from vision problems until the late stages of the disease when treatments could be inefficient. Therefore, an early diagnosis of DR is important and preventing the disease from developing. With the use of intelligent diagnosis systems, image processing and computer vision systems doctors can detect DR at the initial stage. Such determination is explicitly done by the characterization of a convolutional neural system which gives high precision in grouping of these diseases through spatial examination.