A SURVEY ON MACHINE AND DEEP LEARNING FOR DETECTION OF DIABETIC RETINOPATHY

ICTACT Journal on Image and Video Processing ( Volume: 11 , Issue: 2 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff32962b0000003d25060001000a00
Diabetic Retinopathy (DR) is one of the mainly causes of visual loss worldwide. In fact, DR is leading source of impaired vision in people between 25 and 74 years old. DR exists in wide ranged and its detection is a challenging problem. The gradual deterioration of retina leads to DR with several types of lesions, including hemorrhages, exudates, micro aneurysms, etc. Early detection and diagnosis can prevent and save the vision of diabetic patients or at least the progression of DR can be slowed down. The manual diagnosis and analysis of fundus images to substantiate morphological changes in micro aneurysms, exudates, blood vessels, hemorrhages, and macula are usually time-consuming and monotonous task. It can be made easy and fast with the help of computer-aided system based on advanced machine learning techniques that can greatly help doctors and medical practitioners. Thus, the main focus of this paper is to provide a summary of the numerous methods designed for discovering hemorrhages, microaneurysms and exudates are discussed for eventual recognition of non-proliferative diabetic retinopathy. This survey will help the budding researchers, scientists, and practitioners in the field.

Authors

Abdelouahab Attia1, Zahid Akhtar2, Samir Akhrouf3, Sofiane Maza4
Mohamed El Bachir El Ibrahimi University of Bordj Bou Arreridj, Algeria1,4, State University of New York Polytechnic Institute, United States2, Mohamed Boudiaf University, Algeria3

Keywords

Diabetic Retinopathy, Deep Learning, Machine Learning, Computer-Aided Diagnosis

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 11 , Issue: 2 )
Date of Publication
November 2020
Pages
2337-2344

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in