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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Biomed Res Int
Päätekijät: Citak-Er, Fusun, Vural, Metin, Acar, Omer, Esen, Tarik, Onay, Aslihan, Ozturk-Isik, Esin
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Hindawi Publishing Corporation 2014
Aiheet:
Research Article
Linkit: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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