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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Bibliografiske detaljer
Udgivet i:	Biomed Res Int
Main Authors:	Citak-Er, Fusun, Vural, Metin, Acar, Omer, Esen, Tarik, Onay, Aslihan, Ozturk-Isik, Esin
Format:	Artigo
Sprog:	Inglês
Udgivet:	Hindawi Publishing Corporation 2014
Fag:	Research Article
Online adgang:	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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Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T

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