Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score-Reference-Cited by-同舟云学术

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Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score

Published:2018-08-21 Issue:2 Volume:49 Page:518-524
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Ha Richard¹,Chang Peter²,Mutasa Simukayi²,Karcich Jenika²,Goodman Sarah²,Blum Elyse²,Kalinsky Kevin³,Liu Michael Z.⁴,Jambawalikar Sachin⁴

Affiliation:

1. Breast Imaging Section, Department of Radiology; Columbia University Medical Center; New York New York USA

2. Department of Radiology; Columbia University Medical Center; New York New York USA

3. Division of Hematology/Oncology in the Department of Medicine at Columbia University Medical Center; New York New York USA

4. Department of Medical Physics; Columbia University Medical Center; New York New York USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jmri.26244/fullpdf

Reference24 articles.

1. Cancer statistics, 2017;Siegel;CA Cancer J Clin,2017

2. Molecular portraits of human breast tumors;Perou;Nature,2000

3. Use of biomarkers to guide decisions on adjuvant systemic therapy for women with early-stage invasive breast cancer: American Society of Clinical Oncology Clinical Practice Guideline;Harris;J Clin Oncol,2016

4. Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up;Senkus;Ann Oncol,2015

5. A multigene assay to predict recurrence of tamoxifen-treated, node negative breast cancer;Paik;N Engl J Med,2004

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