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

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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Bibliographic Details
Main Authors: Fusun Citak-Er, Metin Vural, Omer Acar, Tarik Esen, Aslihan Onay, Esin Ozturk-Isik
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2014/690787

Internet

http://dx.doi.org/10.1155/2014/690787

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