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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Détails bibliographiques
Publié dans:Diagnostics (Basel)
Auteurs principaux: Daimiel Naranjo, Isaac, Gibbs, Peter, Reiner, Jeffrey S., Lo Gullo, Roberto, Sooknanan, Caleb, Thakur, Sunitha B., Jochelson, Maxine S., Sevilimedu, Varadan, Morris, Elizabeth A., Baltzer, Pascal A. T., Helbich, Thomas H., Pinker, Katja
Format: Artigo
Langue:Inglês
Publié: MDPI 2021
Sujets:
Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8223779/
https://ncbi.nlm.nih.gov/pubmed/34063774
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11060919
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