Computerized breast cancer analysis system using three stage semi-supervised learning method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Computerized breast cancer analysis system using three stage semi-supervised learning method

Published:2016-10 Issue: Volume:135 Page:77-88
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Sun Wenqing,Tseng Tzu-Liang (Bill),Zhang Jianying,Qian Wei

Funder

National Institutes of Health

National Science Foundation

Department of Education

RCMI-NIMHD-NIH

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference34 articles.

1. Cancer statistics, 2013;Siegel;CA Cancer J. Clin,2013

2. Cancer screening in the United States, 2011;Smith;CA Cancer J. Clin,2011

3. Proportion of breast cancer cases in the United States explained by well-established risk factors;Madigan;J. Natl. Cancer Inst,1995

4. Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment;Wang;Acad. Radiol,2012

5. Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006;Shiraishi;Radiology,2009

Cited by 26 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. Computational Techniques in PET/CT Image Processing for Breast Cancer: A Systematic Mapping Review;ACM Computing Surveys;2024-04-26

2. Robust Semi-supervised Medical Image Classification: Leveraging Reliable Pseudo-labels;Communications in Computer and Information Science;2024

3. A Brief Overview on Intelligent Computing-Based Biological Data and Image Analysis;Research Anthology on Bioinformatics, Genomics, and Computational Biology;2023-12-29

4. A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities;Multimedia Tools and Applications;2023-09-28

5. Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation;Knowledge-Based Systems;2023-07

同舟云学术

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