PEYOLO: a wrist fracture detection network based on multi-level receptive field feature extraction and cross-scale fusion - Top-Institutions - MDSpire

PEYOLO: a wrist fracture detection network based on multi-level receptive field feature extraction and cross-scale fusion

  • By

  • Shuwei Zhang

  • Rong Tang

  • Jiong Mu

  • Shaohai Ren

  • May 11, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Stanford University School of Medicine, Department of Radiology
    Stanford University School of Medicine, Department of Radiology

    Stanford, California

    Key Differentiators

    • Radiology
    • Medical Imaging

  • #2

    Harvard University (Massachusetts General Hospital & Brigham and Women’s Hospital)
    Harvard University (Massachusetts General Hospital & Brigham and Women’s Hospital)

    Boston, Massachusetts

    Key Differentiators

    • Radiology
    • Biomedical Imaging

  • #3

    University Medical Center Groningen
    University Medical Center Groningen

    Groningen, Netherlands

    Key Differentiators

    • Radiology

  • #4

    Trofa Saúde
    Trofa Saúde

    Trofa, Portugal

    Key Differentiators

    • Radiology

  • #5

    Seoul National University Bundang Hospital
    Seoul National University Bundang Hospital

    Seongnam, South Korea

    Key Differentiators

    • Radiology

Original Source(s)

PEYOLO: a wrist fracture detection network based on multi-level receptive field feature extraction and cross-scale fusion

  • by Shuwei Zhang, Rong Tang, Jiong Mu, Shaohai Ren

  • May 11, 2026

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