Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype - Top-Institutions - MDSpire

Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype

  • By

  • Fei Cao

  • Chao An

  • Shaolong Li

  • Xiaochun Hu

  • Da Li

  • Jiayu Pan

  • Zhijun Geng

  • Fei Gao

  • Mengxuan Zuo

  • November 19, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Hepatology
    • Oncologic Radiology
    • Computational Oncology

  • #2

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Hepatology
    • Radiology
    • Biomedical Informatics

  • #3

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Oncology
    • Radiology
    • Hepatology

  • #4

    National Cancer Center Hospital
    National Cancer Center Hospital

    Tokyo, Tokyo Prefecture

    Key Differentiators

    • Hepatology
    • Radiology
    • Cancer Informatics

  • #5

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Radiology
    • Hepatology

Original Source(s)

Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype

  • by Fei Cao, Chao An, Shaolong Li, Xiaochun Hu, Da Li, Jiayu Pan, Zhijun Geng, Fei Gao, Mengxuan Zuo

  • November 19, 2025

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