Blood Vessel Segmentation in Fundus Images Using Hessian Matrix for Diabetic Retinopathy Detection
Author:
Funder
The Ministry of Higher Education Malaysia through the FRGS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9284814/9284815/09284931.pdf?arnumber=9284931
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 retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital;International Ophthalmology;2024-04-13
2. A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection;Computers and Electrical Engineering;2024-04
3. Exploration of AI-powered DenseNet121 for effective diabetic retinopathy detection;International Ophthalmology;2024-02-17
4. An optimized framework for prediagnosis of diabetic retinopathy using HHO-CBL model;Bratislava Medical Journal;2024
5. Blood Vessel Detection in Fundus Images Using Symbolic Approach;2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA);2023-11-22
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