Utilizing Deep Learning to Distinguish Between Non-Tuberculous Mycobacterial Lung Disease and Pulmonary Tuberculosis via Chest CT Imaging - Top-Institutions - MDSpire

Utilizing Deep Learning to Distinguish Between Non-Tuberculous Mycobacterial Lung Disease and Pulmonary Tuberculosis via Chest CT Imaging

  • By

  • Bingchuan Hu

  • Bin Wu

  • Yuwei Zhou

  • Zherui Shao

  • Qingning Wang

  • Binyu Luo

  • Zhuo Yu

  • Dawei Zheng

  • April 21, 2026

  • 0 min

Share

Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Pulmonology
    • Infectious Diseases
    • Radiology
    • Artificial Intelligence

  • #2

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Pulmonology
    • Radiology
    • Infectious Diseases
    • Biomedical Informatics

  • #3

    National Institutes of Health (NIH) - National Institute of Allergy and Infectious Diseases (NIAID)
    National Institutes of Health (NIH) - National Institute of Allergy and Infectious Diseases (NIAID)

    Bethesda, MD

    Key Differentiators

    • Infectious Diseases
    • Pulmonology
    • Biomedical Research
    • Imaging Informatics

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Pulmonology
    • Artificial Intelligence
    • Infectious Diseases

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Pulmonology
    • Infectious Diseases
    • Radiology
    • Biomedical Informatics

Original Source(s)

Utilizing Deep Learning to Distinguish Between Non-Tuberculous Mycobacterial Lung Disease and Pulmonary Tuberculosis via Chest CT Imaging

  • by Bingchuan Hu, Bin Wu, Yuwei Zhou, Zherui Shao, Qingning Wang, Binyu Luo, Zhuo Yu, Dawei Zheng

  • April 21, 2026

Related Content

Colorectal anastomotic leak: delay in reintervention after false-negative computed tomography scan is a reason for concern

Interdisciplinary perspectives on computed tomography in sepsis: survey among medical doctors at a large university medical center

Preoperative staging of perforated diverticulitis by computed tomography scanning