Interpretable deep learning for multicenter gastric cancer T staging from CT images - Top-Institutions - MDSpire

Interpretable deep learning for multicenter gastric cancer T staging from CT images

  • By

  • Guoliang Zheng

  • Huan Wang

  • Xiaomiao Chai

  • Xin Xin

  • Fuze Li

  • Hongfei Li

  • Yaoyang Ban

  • Jinshi Wang

  • Xinhui Qi

  • Yingjie Li

  • Zishuo Yan

  • Fangning Guo

  • Zhixue Jiang

  • Dantong Zhu

  • Yanqiang Zhang

  • Zhendong Zheng

  • Xin Zhang

  • Jing Zhang

  • Yan Zhao

  • December 20, 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

    • Gastrointestinal Oncology
    • Radiology
    • Artificial Intelligence in Medicine

  • #2

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Gastrointestinal Oncology
    • Radiology
    • Computational Oncology

  • #3

    National Cancer Center Hospital
    National Cancer Center Hospital

    Tokyo, Japan

    Key Differentiators

    • Gastrointestinal Oncology
    • Radiology
    • Medical Imaging AI

  • #4

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Oncology

  • #5

    The University of Tokyo Hospital
    The University of Tokyo Hospital

    Tokyo, Japan

    Key Differentiators

    • Gastroenterology
    • Radiology
    • AI in Medical Imaging

Original Source(s)

Interpretable deep learning for multicenter gastric cancer T staging from CT images

  • by Guoliang Zheng, Huan Wang, Xiaomiao Chai, Xin Xin, Fuze Li, Hongfei Li, Yaoyang Ban, Jinshi Wang, Xinhui Qi, Yingjie Li, Zishuo Yan, Fangning Guo, Zhixue Jiang, Dantong Zhu, Yanqiang Zhang, Zhendong Zheng, Xin Zhang, Jing Zhang, Yan Zhao

  • December 20, 2025

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