Segmentation of the optic disc and optic cup using a machine learning-based biregional contour evolution model for the cup-to-disc ratio
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11583-8.pdf
Reference32 articles.
1. Aquino A, Gegúndez-Arias ME (2010) Marín D (2010) Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques. IEEE Trans Med Imaging 29(11):1860–1869. https://doi.org/10.1109/TMI.2010.2053042
2. Bengani S, Jothi AA, Vadivel S (2021) Automatic segmentation of optic disc in retinal fundus images using semi-supervised deep learning. Multimedia Tools Appl 80(3):3443–3468. https://doi.org/10.1007/s11042-020-09778-6
3. Biswal B, Vyshnavi E, Metta S, Rout P (2019) Robust retinal optic disc and optic cup segmentation via stationary wavelet transform and maximum vessel pixel sum. IET Image Proc 14(4):592–602. https://doi.org/10.1049/iet-ipr.2019.0845
4. Bouacheria M, Cherfa Y, Cherfa A, Belkhamsa N (2020) Automatic glaucoma screening using optic nerve head measurements and random forest classifier on fundus images. Phys Eng Sci Med 43(4):1265–1277. https://doi.org/10.1007/s13246-020-00930-y
5. Chakravarty A, Sivaswamy J (2017) Joint optic disc and cup boundary extraction from monocular fundus images. Comput Methods Programs Biomed 147:51–61. https://doi.org/10.1016/j.cmpb.2017.06.004
Cited by 2 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. Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow;Scientific Reports;2024-01-03
2. Multi-level classification of knee cartilage lesion in multimodal MRI based on deep learning;Biomedical Signal Processing and Control;2023-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3