Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
https://ieeexplore.ieee.org/ielaam/6287639/8600701/8598712-aam.pdf
Cited by 29 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. Microaneurysm Detection in fundus images using Convolutional with Lite Transformer Network;2024-09-13
2. Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images;Technology and Health Care;2024-07-11
3. Two stage-network: Automatic localization of Optic Disc (OD) and classification of glaucoma in fundus images using deep learning techniques;Multimedia Tools and Applications;2024-06-06
4. Generalizability of Deep Neural Networks for Vertical Cup-to-Disc Ratio Estimation in Ultra-Widefield and Smartphone-Based Fundus Images;Translational Vision Science & Technology;2024-04-03
5. Optic disc and cup segmentation for glaucoma detection using Attention U-Net incorporating residual mechanism;PeerJ Computer Science;2024-03-28
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