Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T

Objective. This study aimed at evaluating linear discriminant analysis (LDA) and support vector machine (SVM) classifiers for estimating final Gleason score preoperatively using multiparametric magnetic resonance imaging (mp-MRI) and clinical parameters. Materials and Methods. Thirty-three patients...

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Detalhes bibliográficos
Publicado no:Biomed Res Int
Main Authors: Citak-Er, Fusun, Vural, Metin, Acar, Omer, Esen, Tarik, Onay, Aslihan, Ozturk-Isik, Esin
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2014
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4269213/
https://ncbi.nlm.nih.gov/pubmed/25544944
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/690787
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