Segmentation of retinal OCT images using a random forest classifier
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SPIE
Cited by 18 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. An Improved Semantic Segmentation Method for Retinal OCT Images Based on High-Resolution Network and Polarized Self-Attention Mechanism;Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing;2024-01-26
2. Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review;Computerized Medical Imaging and Graphics;2023-09
3. A Robust OCT Image Retinal Layer Segmentation Method;2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2023-06-16
4. Rate of Retinal Layer Thinning as a Biomarker for Conversion to Progressive Disease in Multiple Sclerosis;Neurology - Neuroimmunology Neuroinflammation;2022-10-13
5. Automated retinal layer segmentation in optical coherence tomography images with intraretinal fluid;Journal of Innovative Optical Health Sciences;2022-04-06
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