Deep learning-based quantitative histopathology of endoscopic biopsies in Crohn’s disease: a retrospective cross-sectional validation study - Top-Institutions - MDSpire

Deep learning-based quantitative histopathology of endoscopic biopsies in Crohn’s disease: a retrospective cross-sectional validation study

  • By

  • Xin Jiang

  • Pan Li

  • Zhaojing Chen

  • Hui Yao

  • Hao Jia

  • Taiping Wang

  • Xuefeng Tang

  • June 5, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Gastroenterology
    • Pathology
    • AI/Deep Learning

  • #2

    Affiliated Hospital of Qingdao University
    Affiliated Hospital of Qingdao University

    Qingdao, Shandong

    Key Differentiators

    • Gastroenterology

  • #3

    Seoul National University Hospital
    Seoul National University Hospital

    Seoul, South Korea

    Key Differentiators

    • Gastroenterology

  • #4

    First Affiliated Hospital of Zhejiang Chinese Medical University
    First Affiliated Hospital of Zhejiang Chinese Medical University

    Hangzhou, Zhejiang

    Key Differentiators

    • Gastroenterology

  • #5

    Renmin Hospital of Wuhan University
    Renmin Hospital of Wuhan University

    Wuhan, Hubei

    Key Differentiators

    • Gastroenterology

Original Source(s)

Deep learning-based quantitative histopathology of endoscopic biopsies in Crohn’s disease: a retrospective cross-sectional validation study

  • by Xin Jiang, Pan Li, Zhaojing Chen, Hui Yao, Hao Jia, Taiping Wang, Xuefeng Tang

  • June 5, 2026

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