A Multicenter Study on a Deep Learning Approach Combining CT Imaging and Clinical Data for Preoperative T-Stage Assessment in Esophageal Cancer - Top-Institutions - MDSpire

A Multicenter Study on a Deep Learning Approach Combining CT Imaging and Clinical Data for Preoperative T-Stage Assessment in Esophageal Cancer

  • By

  • Li Qian

  • Pengyu Wang

  • Jincheng Chen

  • Xicheng Chen

  • Ling Zhang

  • Ning Tang

  • Jiarui Li

  • Zhen Huang

  • Ping He

  • Wei Wu

  • Yazhou Wu

  • March 1, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Oncology
    • Radiology
    • Medical Imaging AI

  • #2

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Oncology
    • Radiology
    • Biomedical Engineering

  • #3

    The University of Texas Southwestern Medical Center
    The University of Texas Southwestern Medical Center

    Dallas, TX

    Key Differentiators

    • Oncology
    • Radiology
    • Artificial Intelligence in Medicine

  • #4

    Fudan University Shanghai Cancer Center
    Fudan University Shanghai Cancer Center

    Shanghai, Shanghai

    Key Differentiators

    • Oncology
    • Radiology
    • Medical AI Research

  • #5

    Chinese Academy of Medical Sciences Cancer Hospital (National Cancer Center)
    Chinese Academy of Medical Sciences Cancer Hospital (National Cancer Center)

    Beijing, Beijing

    Key Differentiators

    • Oncology
    • Radiology
    • AI in Medical Imaging

Original Source(s)

A Multicenter Study on a Deep Learning Approach Combining CT Imaging and Clinical Data for Preoperative T-Stage Assessment in Esophageal Cancer

  • by Li Qian, Pengyu Wang, Jincheng Chen, Xicheng Chen, Ling Zhang, Ning Tang, Jiarui Li, Zhen Huang, Ping He, Wei Wu, Yazhou Wu

  • March 1, 2026

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