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...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:Magn Reson Imaging
Glavni autori: 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
Jezik:Inglês
Izdano: 2016
Teme:
Article
Online pristup: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
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items