Pupillary Complexity for the Screening of Glaucoma
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09584846.pdf?arnumber=9584846
Cited by 7 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. Evaluating machine learning techniques for enhanced glaucoma screening through Pupillary Light Reflex analysis;Array;2024-09
2. INTEGRATING DUAL FUNDUS IMAGE DEEP FEATURE POOLING BASED ON CUP AND DISC SEGMENTATION FOR EFFICIENT GLAUCOMA DETECTION FRAMEWORK INDULGING HEURISTIC CONCEPT;Biomedical Engineering: Applications, Basis and Communications;2024-08-23
3. 可见光光学相干层析成像技术发展综述（特邀）;Chinese Journal of Lasers;2024
4. Evaluating Machine Learning Techniques for Enhanced Glaucoma Screening Through Pupillary Light Reflex Analysis;2024
5. An Empirical Evaluation of Glaucoma Disease Detection using Novel Deep Learning Model with Image Processing Support;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14
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