Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter study - Top-Institutions - MDSpire

Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter study

  • By

  • Zhanpeng Yuan

  • Yuhua Mei

  • Xiang Peng

  • Zongjie Wei

  • Yingjie Xv

  • Bangxin Xiao

  • Mingzhao Xiao

  • June 23, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Urology
    • Oncology

  • #2

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Urology
    • Oncology

  • #3

    The First Affiliated Hospital of Guangzhou Medical University
    The First Affiliated Hospital of Guangzhou Medical University

    Guangzhou, Guangdong

    Key Differentiators

    • Urology

  • #4

    Bergonié Institute
    Bergonié Institute

    Bordeaux, Nouvelle-Aquitaine

    Key Differentiators

    • Oncology

  • #5

    First Affiliated Hospital of Sun Yat-sen University
    First Affiliated Hospital of Sun Yat-sen University

    Guangzhou, Guangdong

    Key Differentiators

    • Urology

Original Source(s)

Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter study

  • by Zhanpeng Yuan, Yuhua Mei, Xiang Peng, Zongjie Wei, Yingjie Xv, Bangxin Xiao, Mingzhao Xiao

  • June 23, 2026

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