FAD-YOLO: a lightweight feature-refined and task-aligned framework for AIS–MIA discrimination on pulmonary CT - Top-Institutions - MDSpire

FAD-YOLO: a lightweight feature-refined and task-aligned framework for AIS–MIA discrimination on pulmonary CT

  • By

  • Jinghui Chen

  • Tao Yang

  • Zhipeng Sun

  • Chengbin Ye

  • Lianxin Xie

  • Hongjia Zhao

  • June 25, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, Massachusetts

    Key Differentiators

    • Radiology
    • Oncology

  • #2

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Radiology
    • Oncology

  • #3

    University Medical Center Groningen
    University Medical Center Groningen

    Groningen, Netherlands

    Key Differentiators

    • Radiology

  • #4

    Central Hospital of Wuhan
    Central Hospital of Wuhan

    Wuhan, China

    Key Differentiators

    • Radiology

  • #5

    Peking Union Medical College Hospital
    Peking Union Medical College Hospital

    Beijing, China

    Key Differentiators

    • Radiology

Original Source(s)

FAD-YOLO: a lightweight feature-refined and task-aligned framework for AIS–MIA discrimination on pulmonary CT

  • by Jinghui Chen, Tao Yang, Zhipeng Sun, Chengbin Ye, Lianxin Xie, Hongjia Zhao

  • June 25, 2026

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