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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Bibliografiset tiedot
Julkaisussa:Magn Reson Imaging
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2016
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Article
Linkit: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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