Artificial intelligence applied to breast pathology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,General Medicine,Pathology and Forensic Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00428-021-03213-3.pdf
Reference93 articles.
1. Hamet P, Tremblay J (2017) Artificial intelligence in medicine. Metabolism 69:S36–S40. https://doi.org/10.1016/j.metabol.2017.01.011
2. Holzinger A (2019) Introduction to MAchine Learning & Knowledge Extraction (MAKE). Mach Learn Knowl Extr 1:1–20. https://doi.org/10.3390/make1010001
3. Basavanhally A, Feldman M, Shih N et al (2011) Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: comparison to Oncotype DX. J Pathol Inform 2:S1. https://doi.org/10.4103/2153-3539.92027
4. LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444. https://doi.org/10.1038/nature14539
5. Janowczyk A, Madabhushi A (2016) Deep learning for digital pathology image analysis: a comprehensive tutorial with selected use cases. J Pathol Inform 7:29. https://doi.org/10.4103/2153-3539.186902
Cited by 42 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. Artificial intelligence for breast cancer: Implications for diagnosis and management;Journal of Medicine, Surgery, and Public Health;2024-08
2. A lightweight spatially-aware classification model for breast cancer pathology images;Biocybernetics and Biomedical Engineering;2024-07
3. Is Oncotype DX testing informative for breast cancers with low ER expression? A retrospective review from a biomarker testing referral center;The Breast;2024-06
4. Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology;Cancer Medicine;2024-06
5. Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence;Cancers;2024-05-23
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