Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images - Top-Institutions - MDSpire

Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images

  • By

  • Sai Chandra Kosaraju

  • Sai Phani Parsa

  • Dae Hyun Song

  • Hyo Jung An

  • Yoon-La Choi

  • Joungho Han

  • Jung Wook Yang

  • Mingon Kang

  • October 14, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Oncology
    • Pathology
    • Computational Biology
    • Artificial Intelligence

  • #2

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Oncology
    • Molecular Pathology
    • Computational Medicine

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Oncology
    • Pathology
    • Biomedical Engineering

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Oncology
    • Pathology
    • Biomedical Informatics

  • #5

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Biomedical Engineering
    • Computational Biology

Original Source(s)

Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images

  • by Sai Chandra Kosaraju, Sai Phani Parsa, Dae Hyun Song, Hyo Jung An, Yoon-La Choi, Joungho Han, Jung Wook Yang, Mingon Kang

  • October 14, 2025

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