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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Detalles Bibliográficos
Autores principales: Citak-Er, Fusun, Vural, Metin, Acar, Omer, Esen, Tarik, Onay, Aslihan, Ozturk-Isik, Esin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269213/
https://www.ncbi.nlm.nih.gov/pubmed/25544944
http://dx.doi.org/10.1155/2014/690787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269213/
https://www.ncbi.nlm.nih.gov/pubmed/25544944
http://dx.doi.org/10.1155/2014/690787

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