Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images

Purpose: This study aimed to investigate the performance of multiparametric magnetic resonance imaging (mpMRI) radiomic feature-based machine learning (ML) models in classifying the Gleason grade group (GG) of prostate cancer. Methods: In this retrospective study, a total of 203 patients with histop...

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Detalhes bibliográficos

Principais autores:	Fatemeh Zandie, Mohammad Salehi, Asghar Maziar, Mohammad Reza Bayatiani, Reza Paydar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wolters Kluwer Medknow Publications 2024-12-01
Colecção:	Journal of Medical Signals and Sensors
Assuntos:	gleason grading machine learning multiparametric magnetic resonance imaging prostate cancer radiomics
Acesso em linha:	https://journals.lww.com/10.4103/jmss.jmss_47_23
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