Application of deep learning in the detection of breast lesions with four different breast densities
Author:
Affiliation:
1. Department of Radiology Subei People's Hospital of Jiangsu Province Yangzhou Jiangsu China
2. Yizhun Medical AI Beijing China
3. School of Electronics Engineering and Computer Science Peking University Beijing China
Publisher
Wiley
Subject
Cancer Research,Radiology Nuclear Medicine and imaging,Oncology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.4042
Reference29 articles.
1. Global burden and trends in premenopausal and postmenopausal breast cancer: a population‐based study;Heer E;Lancet Glob Health,2020
2. Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives;Geras KJ;Radiology,2019
3. An overview of mammographic density and its association with breast cancer;Nazari SS;Breast Cancer,2018
4. Mammographic density and risk of breast cancer by age and tumor characteristics;Bertrand KA;Breast Cancer Res,2013
Cited by 6 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. Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature;Indian Journal of Radiology and Imaging;2023-10-10
2. Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review;European Radiology;2023-09-02
3. Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network;IEEE Journal of Biomedical and Health Informatics;2023-08
4. Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer;British Journal of Cancer;2023-03-04
5. Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis;Journal of Medical Internet Research;2023-03-02
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