Radiomics Analysis of Different Machine Learning Models based on Multiparametric MRI to Identify Benign and Malignant Testicular Lesions.

Journal: Academic radiology
Published Date: Feb 3, 2025

Abstract

RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the use of multiparametric magnetic resonance imaging(MRI) to predict benign and malignant lesions in the testis.

Authors

  • Yuanxi Jian
    Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China (Y.J., S.Y., R.L., X.T., Q.Z., J.W., Y.C.). Electronic address: 13988822554@163.com.
  • Suping Yang
    Analytical and Testing Center of Wenzhou Medical University Wenzhou 325035, China.
  • Rui Liu
    School of Education, China West Normal University, Nanchong, Sichuan, China.
  • Xin Tan
    School of Public Health, Chengdu Medical College, Chengdu 610500, China.
  • Qian Zhao
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Junlin Wu
    Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China (Y.J., S.Y., R.L., X.T., Q.Z., J.W., Y.C.).
  • Yuan Chen
    Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032.

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