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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Magn Reson Imaging
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados