Superpixel Based Automatic Segmentation of Corneal Ulcers from Ocular Staining Images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8627367/8631538/08631795.pdf?arnumber=8631795
Cited by 10 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. A Segmentation-Based Automated Corneal Ulcer Grading System for Ocular Staining Images Using Deep Learning and Hough Circle Transform;Algorithms;2024-09-10
2. Classification and Determination of Severity of Corneal Ulcer with Vision Transformer Based on the Analysis of Public Image Dataset of Fluorescein-Stained Corneas;Diagnostics;2024-04-09
3. A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-08-27
4. Automated Detection of Corneal Ulcer Using Combination Image Processing and Deep Learning;Diagnostics;2022-12-17
5. Multi-scale information fusion network with label smoothing strategy for corneal ulcer classification in slit lamp images;Frontiers in Neuroscience;2022-11-24
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