A Review on Glaucoma Disease Detection Using Computerized Techniques
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09360745.pdf?arnumber=9360745
Cited by 31 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. Automated Computationally Intelligent Methods for Ocular Vessel Segmentation and Disease Detection: A Review;Archives of Computational Methods in Engineering;2023-09-21
2. Exploring Vision Transformers for Automated Glaucoma Disease Diagnosis in Fundus Images;2023 International Conference on Decision Aid Sciences and Applications (DASA);2023-09-16
3. Glaucoma Optic Disk Localization and Classification using AlexNet, VGGNet 19, and ResNet 101-based model;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14
4. Donut: Augmentation Technique for Enhancing The Efficacy of Glaucoma Suspect Screening;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
5. Bibliometric Analysis: Research Hotspots and Trends on the Application of Artificial Intelligence in Retinal Diseases (Preprint);2023-07-02
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