Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms
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Title
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms
Authors
Keywords
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Journal
EUROPEAN RADIOLOGY
Volume 32, Issue 3, Pages 1652-1662
Publisher
Springer Science and Business Media LLC
Online
2021-10-14
DOI
10.1007/s00330-021-08271-4
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- (2018) J.M. Seely et al. Current Oncology
- Current Applications and Future Impact of Machine Learning in Radiology
- (2018) Garry Choy et al. RADIOLOGY
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- Molecular classification of breast cancer: what the pathologist needs to know
- (2017) Emad A. Rakha et al. PATHOLOGY
- Screening for Breast Cancer
- (2017) Bethany L. Niell et al. RADIOLOGIC CLINICS OF NORTH AMERICA
- Clinical Diagnosis and Management of Breast Cancer
- (2016) E. S. McDonald et al. JOURNAL OF NUCLEAR MEDICINE
- A Pictorial Review of Changes in the BI-RADS Fifth Edition
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- Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011
- (2011) A. Goldhirsch et al. ANNALS OF ONCOLOGY
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- (2008) S. Taneja et al. CLINICAL RADIOLOGY
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