MI-DenseCFNet: deep learning–based multimodal diagnosis models for Aureus and Aspergillus pneumonia - Top-Institutions - MDSpire

MI-DenseCFNet: deep learning–based multimodal diagnosis models for Aureus and Aspergillus pneumonia

  • By

  • Tong Liu

  • Zheng-hua Zhang

  • Qi-hao Zhou

  • Qing-zhao Cheng

  • Yue Yang

  • Jia-shu Li

  • Xue-mei Zhang

  • Jian-qing Zhang

  • January 17, 2024

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Pulmonary Medicine
    • Radiology
    • Artificial Intelligence in Medicine

  • #2

    Massachusetts General Hospital (MGH) / Harvard Medical School
    Massachusetts General Hospital (MGH) / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Pulmonology
    • Radiology
    • Biomedical Informatics

  • #3

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

    Key Differentiators

    • Infectious Diseases
    • Radiology
    • Artificial Intelligence

  • #4

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Pulmonary and Critical Care Medicine
    • Radiology
    • Artificial Intelligence

  • #5

    The First Affiliated Hospital of Kunming Medical University
    The First Affiliated Hospital of Kunming Medical University

    Kunming, Yunnan Province, China

    Key Differentiators

    • Pulmonary Medicine
    • Radiology
    • Medical AI Research

Original Source(s)

MI-DenseCFNet: deep learning–based multimodal diagnosis models for Aureus and Aspergillus pneumonia

  • by Tong Liu, Zheng-hua Zhang, Qi-hao Zhou, Qing-zhao Cheng, Yue Yang, Jia-shu Li, Xue-mei Zhang, Jian-qing Zhang

  • January 17, 2024

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