Machine learning in breast MRI-Reference-Cited by-同舟云学术

Machine learning in breast MRI

Published:2019-07-05 Issue:4 Volume:52 Page:998-1018
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Reig Beatriu¹^ORCID,Heacock Laura²,Geras Krzysztof J.²,Moy Linda²³

Affiliation:

1. The Department of Radiology New York University School of Medicine New York New York USA

2. Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology New York University School of Medicine New York New York USA

3. Center for Advanced Imaging Innovation and Research (CAI2 R) New York University School of Medicine New York New York USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26852

Reference128 articles.

1. Magnetic resonance imaging of the breast: Recommendations from the EUSOMA working group

2. ACR practice parameter for the performance of contrast‐enhanced magnetic resonance imaging of the breast. Resolution 34. American College of Radiology Website;2018.

3. Contrast‐enhanced MRI for breast cancer screening

4. The Current Status of Breast MR Imaging Part I. Choice of Technique, Image Interpretation, Diagnostic Accuracy, and Transfer to Clinical Practice

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