Hierarchical reasoning for lung cancer detection: from multi-scale perception to hypergraph inference with CR-YOLO - Top-Institutions - MDSpire

Hierarchical reasoning for lung cancer detection: from multi-scale perception to hypergraph inference with CR-YOLO

  • By

  • Zhengshui Xu

  • Tianle Shen

  • Changchun Ye

  • Yu Li

  • Danwen Zhao

  • Ming Zhang

  • Yao Cheng

  • Jintao Chai

  • Jiantao Jiang

  • Junfeng Xi

  • Chao Xu

  • Wei Chen

  • Shiyuan Liu

  • November 27, 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
    • Radiology
    • Medical Imaging
    • Artificial Intelligence

  • #2

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Oncology
    • Radiology
    • Medical Imaging
    • Machine Learning

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Oncology
    • Radiology
    • Biomedical Engineering
    • Artificial Intelligence

  • #4

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

    Boston, MA

    Key Differentiators

    • Oncology
    • Radiology
    • Medical Imaging
    • Computational Medicine

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Oncology
    • Radiology
    • Artificial Intelligence
    • Biomedical Informatics

Original Source(s)

Hierarchical reasoning for lung cancer detection: from multi-scale perception to hypergraph inference with CR-YOLO

  • by Zhengshui Xu, Tianle Shen, Changchun Ye, Yu Li, Danwen Zhao, Ming Zhang, Yao Cheng, Jintao Chai, Jiantao Jiang, Junfeng Xi, Chao Xu, Wei Chen, Shiyuan Liu

  • November 27, 2025

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