Glaucoma Detection from Retinal Fundus Images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9177229/9182042/09182388.pdf?arnumber=9182388
Cited by 15 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. Diagnosis of Glaucoma Through the Analysis of Saccadic Eye Movements Employing Machine Learning Methods;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03
2. Classification of Diabetic Retinopathy Using Image Pre-processing Techniques;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
3. Experimental Approach to Identify the Optimal Deep CNN Models to Early Detection of Glaucoma from Fundus CT-Scan Images;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17
4. Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review;Survey of Ophthalmology;2023-01
5. Automatic Features Extraction from the Optic Cup and Disc Segmentation for Glaucoma Classification;Computational Science and Its Applications – ICCSA 2023;2023
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