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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...
Autores principales: | Gholizadeh, Neda, Simpson, John, Ramadan, Saadallah, Denham, Jim, Lau, Peter, Siddique, Sabbir, Dowling, Jason, Welsh, James, Chalup, Stephan, Greer, Peter B. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
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 |
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