Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-07887-8_13
Reference11 articles.
1. Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., Abraham, J., Adair, T., Aggarwal, R., Ahn, S.Y., et al.: Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. The Lancet 380(9859), 2095–2128 (2013)
2. McCormack, V.A., dos Santos Silva, I.: Breast density and parenchymal patterns as markers of breast cancer risk: A meta-analysis. Cancer Epidemiology Biomarkers & Prevention 15(6), 1159–1169 (2006)
3. Boyd, N.F., Martin, L.J., Bronskill, M., Yaffe, M.J., Duric, N., Minkin, S.: Breast tissue composition and susceptibility to breast cancer. Journal of the National Cancer Institute 102(16), 1224–1237 (2010)
4. Wolfe, J.N.: Risk for breast cancer development determined by mammographic parenchymal pattern. Cancer 37(5), 2486–2492 (1976)
5. Tabár, L., Duffy, S.W., Vitak, B., Chen, H.-H., Prevost, T.C.: The natural history of breast carcinoma. Cancer 86(3), 449–462 (1999)
Cited by 28 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 Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning;Archives of Computational Methods in Engineering;2023-07-07
2. Deep learning-based ensemble model for classification of breast cancer;Microsystem Technologies;2023-05-18
3. BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI;Applied Computer Science;2022-03-30
4. Algorithms and methods for computerized analysis of mammography images in breast cancer risk assessment;Computer Methods and Programs in Biomedicine;2021-11
5. 9. Computerized Diagnostic Aid for Mammography Using Deep Learning;Japanese Journal of Radiological Technology;2021
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