Paper Details

Diabetes or Diabetes Mellitus and its complications causing major and even life threatening problems in human being life across the world. Diabetic retinopathy is one of the complications of Diabetes Mellitus which causes deficiency in human eye and can cause loss of eye vision. In recent time, its diagnosis and classification is done by using machine learning techniques with acceptable results as Computer Vision and Image Processing techniques are being used effectively and efficiently on medical images like on retina images in modern medical science. Use of machine learning algorithms and deep learning algorithms have increased enormously in the medical image analysis and processing. Deep learning techniques like Deep Neural Networks, Convolution Neural Networks have been used to Diabetic Retinopathy detection by using retina images. This article presents the study of Diabetic Retinopathy and the review of deep learning techniques used in medical imaging especially for Diabetic Retinopathy diagnosis and classification by using publically available retina image datasets.

Diabetic Retinopathy, Deep Learning, Deep Neural Network, Convolution Neural Network