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

Journal: Journal of medical signals and sensors
Published Date: Dec 3, 2024

Abstract

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.

Authors

  • Fatemeh Zandie
    Department of Radiation Sciences, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Mohammad Salehi
    Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Asghar Maziar
    Department of Radiation Sciences, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Mohammad Reza Bayatiani
    Department of Radiotherapy and Medical Physics, Faculty of Para Medicine, Arak University of Medical Sciences and Khansari Hospital, Arak, Iran.
  • Reza Paydar
    Department of Radiation Sciences, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.

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