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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Magn Reson Imaging
Egile Nagusiak: 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
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2016
Gaiak:
Article
Sarrera elektronikoa: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
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak