Survey on Deep Learning based Automated Systems for the Detection and Grading of Diabetic Retinopathy using Retinal Fundus Images-Reference-Cited by-同舟云学术

Survey on Deep Learning based Automated Systems for the Detection and Grading of Diabetic Retinopathy using Retinal Fundus Images

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Power, Instrumentation, Control and Computing (PICC)
language:
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Author:

Vijayan Vinya¹,A Salim²

Affiliation:

1. College of Engineering Trivandrum, Affiliated to APJ Abdul Kalam Technological University,Dept. of Computer Science and Engineering,Kerala,India

2. Government Engineering College, Thrissur Affiliated to APJ Abdul Kalam Technological University,Dept. of Computer Science and Engineering,Kerala,India

Funder

Engineering Research and Development (CERD), Government of Kerala, India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142227/10142283/10142530.pdf?arnumber=10142530

Reference33 articles.

1. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales

2. the DIARETDB1 diabetic retinopathy database and evaluation protocol

3. TeleOphta: Machine learning and image processing methods for teleophthalmology

4. FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

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