Detection and Classification of Diabetic and Hypertensive Retinopathy Using CNN & Autoencoder

Abstract

In today’s modern era where the world has advanced with latest technologies, still there is scope of improvement in various fields. Currently we are witnessing modern techniques using Artificial Intelligence and Machine learning. We can use them to enhance and improve the human health and lifestyle. One research area less explored is Diabetic Retinopathy and Hypertensive Retinopathy. Both are caused by Chronic Diabetic conditions or Hypertension Condition, which can cause serious damages in one's eye including blood vessel rupture cotton wool-spots etc. We can capture high resolution images and can use them to classify and detect the condition and help the patient with early diagnosis that can save them from losing their eyesight.