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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223779/
https://www.ncbi.nlm.nih.gov/pubmed/34063774
http://dx.doi.org/10.3390/diagnostics11060919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223779/
https://www.ncbi.nlm.nih.gov/pubmed/34063774
http://dx.doi.org/10.3390/diagnostics11060919

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