Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients
Author:
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s10384-019-00706-2.pdf
Reference40 articles.
1. Wu Z, Saunders LJ, Daga FB, Diniz-Filho A, Medeiros FA. Frequency of testing to detect visual field progression derived using a longitudinal cohort of glaucoma patients. Ophthalmology. 2017;124:786–92.
2. Shaikh Y, Yu F, Coleman AL. Burden of undetected and untreated glaucoma in the United States. Am J Ophthalmol. 2014;158:1121–1129.e1.
3. Leung CK-S, Cheung CYL, Weinreb RN, Qiu K, Liu S, Li H, et al. Evaluation of retinal nerve fiber layer progression in glaucoma: a study on optical coherence tomography guided progression analysis. Invest Ophthalmol Vis Sci. 2010;51:217–22.
4. Taketani Y, Murata H, Fujino Y, Mayama C, Asaoka R. How many visual fields are required to precisely predict future test results in glaucoma patients when using different trend analyses? Invest Ophthalmol Vis Sci. 2015;56:4076–82.
5. Medeiros FA, Weinreb RN, Moore G, Liebmann JM, Girkin CA, Zangwill LM. Integrating event-and trend-based analyses to improve detection of glaucomatous visual field progression. Ophthalmology. 2012;119:458–67.
Cited by 17 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. Application of artificial intelligence in glaucoma care: An updated review;Taiwan Journal of Ophthalmology;2024-07
2. Artificial intelligence in glaucoma: opportunities, challenges, and future directions;BioMedical Engineering OnLine;2023-12-16
3. Predicting glaucoma progression using deep learning framework guided by generative algorithm;Scientific Reports;2023-11-15
4. Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects;British Journal of Ophthalmology;2023-11-02
5. Glaucoma progression. Clinical practice guide;Archivos de la Sociedad Española de Oftalmología (English Edition);2023-01
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