Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images - Top-Institutions - MDSpire

Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images

  • By

  • Ching-Wei Wang

  • Tzu-Chiao Chu

  • Tzu-Kang Wu

  • Yu-Pang Chung

  • Sin-Si Lin

  • Tai-Kuang Chao

  • January 24, 2026

  • 0 min

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Top Institutions in Pathology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Pathology
    • Computational Oncology
    • Artificial Intelligence in Medicine

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Pathology
    • Biomedical Informatics
    • Machine Learning

  • #3

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

    Baltimore, MD

    Key Differentiators

    • Pathology
    • Oncology
    • Artificial Intelligence

  • #4

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

    Boston, MA

    Key Differentiators

    • Pathology
    • Cancer Research
    • Computational Medicine

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Pathology
    • Biomedical Data Science
    • Oncology

Original Source(s)

Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images

  • by Ching-Wei Wang, Tzu-Chiao Chu, Tzu-Kang Wu, Yu-Pang Chung, Sin-Si Lin, Tai-Kuang Chao

  • January 24, 2026

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