Deep learning models for radiography body-part classification and chest radiograph projection/orientation classification: a multi-institutional study - Top-Institutions - MDSpire

Deep learning models for radiography body-part classification and chest radiograph projection/orientation classification: a multi-institutional study

  • By

  • Yasuhito Mitsuyama

  • Hirotaka Takita

  • Shannon L. Walston

  • Ko Watanabe

  • Shoya Ishimaru

  • Yukio Miki

  • Daiju Ueda

  • October 22, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Medical Imaging Informatics
    • Artificial Intelligence in Medicine

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Machine Learning

  • #3

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Artificial Intelligence

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Medical Informatics
    • AI in Healthcare

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Machine Learning

Original Source(s)

Deep learning models for radiography body-part classification and chest radiograph projection/orientation classification: a multi-institutional study

  • by Yasuhito Mitsuyama, Hirotaka Takita, Shannon L. Walston, Ko Watanabe, Shoya Ishimaru, Yukio Miki, Daiju Ueda

  • October 22, 2025

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