New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images

Published:2015-05-29 Issue:1 Volume:5 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Chen Jia-Mei,Qu Ai-Ping,Wang Lin-Wei,Yuan Jing-Ping,Yang Fang,Xiang Qing-Ming,Maskey Ninu,Yang Gui-Fang,Liu Juan,Li Yan

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep10690.pdf

Reference42 articles.

1. Jemal, A. et al. Global cancer statistics. CA Cancer J Clin 61, 69–90 (2011).

2. Jemal, A., Ward, E. & Thun, M. Declining death rates reflect progress against cancer. PLoSOne 5, e9584 (2010).

3. Glen, H. & Jones, R. J. 8th international conference: primary therapy of early breast cancer, St Gallen, Switzerland, March 12-15 2003. Breast Cancer Res 5, 198–201(2003).

4. Harbeck, N., Thomssen, C. & Gnant, M. St. Gallen 2013: brief preliminary summary of the consensus discussion. Breast Care 8, 102–109 (2013).

5. Schnitt, S.J. Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy. Mod Pathol 23, 60–64 (2010).

Cited by 77 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. From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images;Journal of Imaging Informatics in Medicine;2024-03-01

2. NSGA-II-DL: Metaheuristic Optimal Feature Selection With Deep Learning Framework for HER2 Classification in Breast Cancer;IEEE Access;2024

3. Integrative models of histopathological images and multi-omics data predict prognosis in endometrial carcinoma;PeerJ;2023-08-11

4. Deep learning-based morphological feature analysis and the prognostic association study in colon adenocarcinoma histopathological images;Frontiers in Oncology;2023-02-08

5. Artificial intelligence in breast cancer histopathology;Histopathology;2022-12-08

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