Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRI

PURPOSE: The aim of this proof-of-concept work is to propose an unsupervised framework that combines multiple parameters, in “positive-if-all-positive” manner, from different models to localize tumors. METHODS: A voxel-by-voxel analysis of the DW-MRI images of whole prostate was performed to obtain...

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Publicat a:Magn Reson Imaging
Autors principals: Freidlin, Raisa Z., Agarwal, Harsh K., Sankineni, Sandeep, Brown, Anna M., Mertan, Francesca, Bernardo, Marcelino, Daar, Dagane, Merino, Maria, Citrin, Deborah, Wood, Bradford J., Pinto, Peter A., Choyke, Peter L., Turkbey, Baris
Format: Artigo
Idioma:Inglês
Publicat: 2016
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5055445/
https://ncbi.nlm.nih.gov/pubmed/27451403
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2016.06.004
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