Multiple Convolutional Neural Networks for Diabetic Retinopathy Classification

Diabetic retinopathy (DR) is a complication of diabetes, caused by high blood sugar levels damaging the retina blood vessels, and can lead to vision loss if it is not treated or detected in initial phases. Convolutional neural networks (CNNs) were used to classify multiple DR images on different stages for the early diagnosis purposes. Improving the accuracy and precision of examination, developing the classification of cases of diabetic retinopathy by severity are essential steps in treating diabetic retinopathy and other eye diseases.