Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine segmentation
Author:
Affiliation:
1. Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104
2. Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104
Funder
American Cancer Society
U.S. Department of Defense
National Institutes of Health
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1118/1.4736530
Reference59 articles.
1. Cancer Statistics, 2010
2. Projecting Individualized Probabilities of Developing Breast Cancer for White Females Who Are Being Examined Annually
3. Role of MRI in screening women at high risk for breast cancer
4. Screening women at high risk for breast cancer with mammography and magnetic resonance imaging
5. Cancer Yield of Mammography, MR, and US in High-Risk Women: Prospective Multi-Institution Breast Cancer Screening Study
Cited by 160 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. Longitudinal latent class analysis to understand trajectory of breast density and breast cancer risk;2024-07-22
2. Preoperative prediction of nodal status using clinical data and artificial intelligence derived mammogram features enabling abstention of sentinel lymph node biopsy in breast cancer;Frontiers in Oncology;2024-07-10
3. Effect of testosterone therapy on breast tissue composition and mammographic breast density in trans masculine individuals;Breast Cancer Research;2024-07-02
4. Advancing volumetric breast density segmentation: a deep learning approach with digital breast tomosynthesis;17th International Workshop on Breast Imaging (IWBI 2024);2024-05-29
5. Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review;Cancer Epidemiology, Biomarkers & Prevention;2024-05-24
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