Voxel‐based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI

PURPOSE: The aim of this study was to develop and assess the performance of supervised machine learning technique to classify magnetic resonance imaging (MRI) voxels as cancerous or noncancerous using noncontrast multiparametric MRI (mp‐MRI), comprised of T2‐weighted imaging (T2WI), diffusion‐weight...

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Detalles Bibliográficos
Autores principales: Gholizadeh, Neda, Simpson, John, Ramadan, Saadallah, Denham, Jim, Lau, Peter, Siddique, Sabbir, Dowling, Jason, Welsh, James, Chalup, Stephan, Greer, Peter B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592985/
https://www.ncbi.nlm.nih.gov/pubmed/32770600
http://dx.doi.org/10.1002/acm2.12992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592985/
https://www.ncbi.nlm.nih.gov/pubmed/32770600
http://dx.doi.org/10.1002/acm2.12992

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