Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma - Top-Institutions - MDSpire

Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma

  • By

  • Ling Duan

  • Yongqi He

  • Wenhui Guo

  • Yanru Du

  • Shuo Yin

  • Shoubo Yang

  • Gehong Dong

  • Wenbin Li

  • Feng Chen

  • April 1, 2024

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Neuro-Oncology
    • Hematology-Oncology
    • Computational Pathology

  • #2

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Hematology-Oncology
    • Neuro-Oncology
    • Computational Biology

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Neuropathology
    • Computational Pathology

  • #4

    University of California, San Francisco
    University of California, San Francisco

    San Francisco, CA

    Key Differentiators

    • Neuro-Oncology
    • Pathology
    • Biomedical Informatics

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Hematology-Oncology
    • Neuropathology
    • Computational Pathology

Original Source(s)

Machine learning-based pathomics signature of histology slides as a novel prognostic indicator in primary central nervous system lymphoma

  • by Ling Duan, Yongqi He, Wenhui Guo, Yanru Du, Shuo Yin, Shoubo Yang, Gehong Dong, Wenbin Li, Feng Chen

  • April 1, 2024

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