Detection of optic disc and cup from color retinal images for automated diagnosis of glaucoma-Reference-Cited by-同舟云学术

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Detection of optic disc and cup from color retinal images for automated diagnosis of glaucoma

Published:2015-12 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON)
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Author:

Lotankar Megha,Noronha Kevin,Koti Jayasudha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7449774/7456672/07456741.pdf?arnumber=7456741

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Enhanced RNN-LSTM Model for Fundus Image Classification to Diagnose Glaucoma;SN Computer Science;2024-05-02

2. Glaucoma Detection using Fundus Image of the Retina;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

3. Optical Cup and Disc Segmentation using Deep Learning Technique for Glaucoma Detection;International Journal of Next-Generation Computing;2023-02-15

4. Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review;Survey of Ophthalmology;2023-01

5. Analysis and Detection of Glaucoma from Fundus Eye Image by Cup to Disc Ratio by Unsupervised Machine Learning;2022 IEEE International Conference on Data Science and Information System (ICDSIS);2022-07-29

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