Magnetic resonance imaging texture analysis classification of primary breast cancer

European Radiology ◽

10.1007/s00330-015-3845-6 ◽

2015 ◽

Vol 26 (2) ◽

pp. 322-330 ◽

Author(s):

S. A. Waugh ◽

C. A. Purdie ◽

L. B. Jordan ◽

S. Vinnicombe ◽

R. A. Lerski ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Texture Analysis ◽

Primary Breast Cancer ◽

Resonance Imaging

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The assessment of primary breast cancer tumor size by magnetic resonance imaging, breast ultrasonography and mammography: a comparative study across intrinsic tumor subtype

10.1016/s0960-9776(21)00221-6 ◽

2021 ◽

Vol 56 ◽

pp. S71

Author(s):

C.F. Pop ◽

C. Stanciu Pop ◽

S. Drisis ◽

M. Radermeker ◽

C. Vandemerckt ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Comparative Study ◽

Primary Breast Cancer ◽

Tumor Subtype ◽

Resonance Imaging ◽

Breast Ultrasonography ◽

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Measurement of tumour size with mammography, sonography and magnetic resonance imaging as compared to histological tumour size in primary breast cancer

10.1186/1471-2407-13-328 ◽

2013 ◽

Vol 13 (1) ◽

Author(s):

Ines V Gruber ◽

Miriam Rueckert ◽

Karl O Kagan ◽

Annette Staebler ◽

Katja C Siegmann ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Primary Breast Cancer ◽

Tumour Size ◽

Resonance Imaging

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Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy

European Radiology ◽

10.1007/s00330-021-07816-x ◽

2021 ◽

Author(s):

Na Lae Eun ◽

Daesung Kang ◽

Eun Ju Son ◽

Ji Hyun Youk ◽

Jeong-Ah Kim ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Machine Learning ◽

Magnetic Resonance ◽

Neoadjuvant Chemotherapy ◽

Cancer Patients ◽

Texture Analysis ◽

Breast Cancer Patients ◽

Resonance Imaging

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Magnetic Resonance Imaging Combined With Second-look Ultrasonography in Predicting Pathologic Complete Response After Neoadjuvant Chemotherapy in Primary Breast Cancer Patients

Clinical Breast Cancer ◽

10.1016/j.clbc.2018.08.004 ◽

2019 ◽

Vol 19 (1) ◽

pp. 71-77 ◽

Author(s):

Naoki Hayashi ◽

Hiroko Tsunoda ◽

Maki Namura ◽

Tomohiro Ochi ◽

Koyu Suzuki ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Neoadjuvant Chemotherapy ◽

Cancer Patients ◽

Primary Breast Cancer ◽

Pathologic Complete Response ◽

Complete Response ◽

Breast Cancer Patients ◽

Resonance Imaging

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A radiomics study of textural features using magnetic resonance imaging for classification of breast cancer subtypes

Journal of Physics Conference Series ◽

10.1088/1742-6596/1497/1/012015 ◽

2020 ◽

Vol 1497 ◽

pp. 012015

Author(s):

Z Y Tang ◽

L K Tan ◽

B Y Ng ◽

K Rahmat ◽

M T Ramli ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Breast Cancer Subtypes ◽

Textural Features ◽

Resonance Imaging ◽

Cancer Subtypes

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Feature Selection and Classification of Breast Cancer on Dynamic Magnetic Resonance Imaging Using ANN and SVM

American Journal of Biomedical Engineering ◽

10.5923/j.ajbe.20110101.04 ◽

2012 ◽

Vol 1 (1) ◽

pp. 20-25 ◽

Author(s):

F. Keyvanfard ◽

M. A. Shoorehdeli ◽

M. Teshnehlab

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Feature Selection ◽

Magnetic Resonance ◽

Dynamic Magnetic Resonance Imaging ◽

Resonance Imaging ◽

Dynamic Magnetic Resonance

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Does breast magnetic resonance imaging measurement correlate with pathology in assessment of primary breast cancer?

Breast Cancer Research ◽

10.1186/bcr2373 ◽

2009 ◽

Vol 11 (S2) ◽

Author(s):

AN Khan ◽

M Hoosein ◽

H Khan ◽

L Grosvenor ◽

M Al-Attar

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Primary Breast Cancer ◽

Breast Magnetic Resonance Imaging ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Measurement ◽

Breast Magnetic Resonance

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Corrigendum to ‘Feature extraction and classification of breast cancer on dynamic magnetic resonance imaging using artificial neural network’ [Cancer Letters 171 (2001) 183–191]

Cancer Letters ◽

10.1016/j.canlet.2003.10.014 ◽

2004 ◽

Vol 206 (1) ◽

pp. 115

Author(s):

Parviz Abdolmaleki ◽

Lawrence Danso Buadu ◽

Hossein Naderimansh

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Magnetic Resonance Imaging ◽

Artificial Neural Network ◽

Feature Extraction ◽

Magnetic Resonance ◽

Dynamic Magnetic Resonance Imaging ◽

Resonance Imaging ◽

Dynamic Magnetic Resonance

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Abstract P2-02-07: Predicting Response to Bevacizumab Therapy in Primary Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging

10.1158/0008-5472.sabcs10-p2-02-07 ◽

2010 ◽

Author(s):

NP Hughes ◽

S Mehta ◽

SP Li ◽

J Taylor ◽

A Adwani ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Primary Breast Cancer ◽

Resonance Imaging ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced

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Utility of Breast Magnetic Resonance Imaging in Patients With Occult Primary Breast Cancer

Annals of Surgical Oncology ◽

10.1245/aso.2005.03.520 ◽

2005 ◽

Vol 12 (12) ◽

pp. 1045-1053 ◽

Author(s):

Claire L. Buchanan ◽

Elizabeth A. Morris ◽

Paige L. Dorn ◽

Patrick I. Borgen ◽

Kimberly J. Van Zee

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Primary Breast Cancer ◽

Breast Magnetic Resonance Imaging ◽

Resonance Imaging ◽

Breast Magnetic Resonance

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