Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density-Reference-Cited by-同舟云学术

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density

Published:2020-12 Issue:12 Volume:17 Page:1653-1662
ISSN:1546-1440
Container-title:Journal of the American College of Radiology
language:en
Short-container-title:Journal of the American College of Radiology

Author:

Chang Ken,Beers Andrew L.,Brink Laura,Patel Jay B.,Singh Praveer,Arun Nishanth T.,Hoebel Katharina V.,Gaw Nathan,Shah Meesam,Pisano Etta D.,Tilkin Mike,Coombs Laura P.,Dreyer Keith J.,Allen Bibb,Agarwal Sheela,Kalpathy-Cramer Jayashree

Funder

National Institute of Biomedical Imaging and Bioengineering

National Cancer Institute

Bayer HealthCare

National Institutes of Health

Massachusetts General Hospital

Amazon Web Services

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference46 articles.

1. Cancer statistics, 2019;Siegel;CA Cancer J Clin,2019

2. The impact of organized mammography service screening on breast carcinoma mortality in seven Swedish counties;Duffy;Cancer,2002

3. Beyond randomized controlled trials: organized mammographic screening substantially reduces breast carcinoma mortality;Tabár;Cancer,2001

4. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study;Boyd;JNCI J Natl Cancer Inst,1995

5. Mammographic density and breast cancer risk in white and African American women;Razzaghi;Breast Cancer Res Treat,2012

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