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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Detalhes bibliográficos
Publicado no:J Appl Clin Med Phys
Main Authors: Gholizadeh, Neda, Simpson, John, Ramadan, Saadallah, Denham, Jim, Lau, Peter, Siddique, Sabbir, Dowling, Jason, Welsh, James, Chalup, Stephan, Greer, Peter B.
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2020
Assuntos:
Medical Imaging
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7592985/
https://ncbi.nlm.nih.gov/pubmed/32770600
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.12992
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