EYENET: An Eye Disease Detection System using Convolutional Neural Network-Reference-Cited by-同舟云学术

EYENET: An Eye Disease Detection System using Convolutional Neural Network

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Edge Computing and Applications (ICECAA)
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Author:

Helen D.¹,Gokila S.²

Affiliation:

1. College of Science and Humanities, SRM Institute of Science and Technology,Department of Computer Applications,Kattankulathur,Chennai,India

2. Hindustan Institute of Technology and Science,Department of Computer Applications,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211064/10212098/10212139.pdf?arnumber=10212139

Reference15 articles.

1. Automatic Screening and Grading of Age-Related Macular Degeneration from Texture Analysis of Fundus Images

2. Remote Automated Cataract Detection System Based on Fundus Images;sucheta;International Journal of Innovative Research in Science Engineering and Technology,2016

3. Source and Camera Independent Ophthalmic Disease Recognition from Fundus Image Using Neural Network;tariqullslam;2019 IEEE International Conference on Signal Processing Information Communication & Systems (SPICSCON),2019

4. Recent Approaches for Automatic Cataract Detection Analysis Using Image Processing;kumar;Journal of Network Communications and Emerging Technologies(JNCET),2017

5. Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

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1. Cataract Disease Detection Based on Small Fundus Images Dataset Using CNNs;2024 2nd International Conference on Computer Graphics and Image Processing (CGIP);2024-01-12

2. Review of Eye Diseases Detection and Classification Using Deep Learning Techniques;BIO Web of Conferences;2024