Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis

Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis

The purpose of this multicenter retrospective study was to evaluate radiomics analysis coupled with machine learning (ML) of dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI) radiomics models separately and combined as multiparametric MRI for improved breast cancer detection. Cons...

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Bibliographic Details
Main Authors: Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Caleb Sooknanan, Sunitha B. Thakur, Maxine S. Jochelson, Varadan Sevilimedu, Elizabeth A. Morris, Pascal A. T. Baltzer, Thomas H. Helbich, Katja Pinker
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
magnetic resonance imaging
breast cancer
radiomics
machine learning
dynamic contrast-enhanced MRI
diffusion-weighted imaging
Online Access:https://www.mdpi.com/2075-4418/11/6/919

Internet

https://www.mdpi.com/2075-4418/11/6/919

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