Detection of Diabetic Retinopathy Using Deep Learning Models

Authors

  • Syed Vasim Fathima, S K N S Surya Varma, V Naga Prudhvi Raj, G. Geetha

DOI:

https://doi.org/10.17762/msea.v71i4.481

Abstract

Diabetic retinopathy occurs due to vascular complications in diabetics. It consists of different stages which do not have any early-stage symptoms. An ophthalmologist can identify some disease in the retina but they can't tell how that disease occurs and at what stage it is present. So, ophthalmologists suggest retina specialists for curing disease.We are proposing a computer-aided diagnosis (CAD) system for the development of quick screening of diabetic retinopathy. By the proposed method ophthalmologist can classify the stage of diabetic retinopathy which can identify within less time and is easy for the ophthalmologist. In this paper, we are going to develop a convolutional neural network (CNN) using python language to predict whether the patient is diabetic or not and to identify its stage.

Downloads

Published

2022-08-19

How to Cite

Syed Vasim Fathima, S K N S Surya Varma, V Naga Prudhvi Raj, G. Geetha. (2022). Detection of Diabetic Retinopathy Using Deep Learning Models. Mathematical Statistician and Engineering Applications, 71(4), 209–232. https://doi.org/10.17762/msea.v71i4.481

Issue

Section

Articles