A Two-Phase Deep Learning Approach for Detecting Laterally Spreading Tumors Utilizing Self-Supervised Learning and Few-Shot Classification Techniques - Top-Institutions - MDSpire

A Two-Phase Deep Learning Approach for Detecting Laterally Spreading Tumors Utilizing Self-Supervised Learning and Few-Shot Classification Techniques

  • By

  • Menghui Wang

  • Zhanpeng Shi

  • Yiwen Wang

  • Jie Lu

  • March 1, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Gastroenterology
    • Colorectal Surgery
    • Medical AI Research

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Gastroenterology
    • Oncology
    • Biomedical Engineering

  • #3

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

    Boston, MA

    Key Differentiators

    • Gastroenterology
    • Medical Informatics
    • AI in Medicine

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Gastroenterology
    • Artificial Intelligence
    • Biomedical Data Science

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Gastroenterology
    • Cancer Research
    • Medical AI

Original Source(s)

A Two-Phase Deep Learning Approach for Detecting Laterally Spreading Tumors Utilizing Self-Supervised Learning and Few-Shot Classification Techniques

  • by Menghui Wang, Zhanpeng Shi, Yiwen Wang, Jie Lu

  • March 1, 2026

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