Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review - Top-Institutions - MDSpire

Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review

  • By

  • Ting-Wei Wang

  • Jia-Sheng Hong

  • Hwa-Yen Chiu

  • Heng-Sheng Chao

  • Yuh-Min Chen

  • Yu-Te Wu

  • May 22, 2024

  • 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
    • Oncology
    • Artificial Intelligence

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Artificial Intelligence

  • #3

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Oncology
    • Machine Learning

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Pulmonology
    • Artificial Intelligence

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Oncology
    • Data Science

Original Source(s)

Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review

  • by Ting-Wei Wang, Jia-Sheng Hong, Hwa-Yen Chiu, Heng-Sheng Chao, Yuh-Min Chen, Yu-Te Wu

  • May 22, 2024

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