Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model - Top-Institutions - MDSpire

Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model

  • By

  • Nan Xu

  • Qianqian He

  • Lu Wang

  • Zhiwen Zhang

  • Qiuju Sheng

  • Shang Gao

  • Shimin Zhang

  • Bosinan Chen

  • Jianing Sun

  • Zhijian Zhang

  • Jie Zhang

  • Jing Qiu

  • Yunan Wang

  • Guanyu Liu

  • Enyu Li

  • Mingke Tian

  • Haotian Wang

  • Jiaping Yu

  • Yan Dong

  • Si Gao

  • Song Chen

  • Fan Yang

  • Zhihui Chang

  • Yue Dong

  • Lina Zhang

  • Jiangdian Song

  • December 20, 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

    • Thoracic Radiology
    • Lung Cancer Surgery
    • Medical Oncology
    • Artificial Intelligence in Imaging
  • #2

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Pulmonary Medicine
    • Thoracic Surgery
    • Machine Learning in Medical Imaging
  • #3

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

    San Francisco, CA

    Key Differentiators

    • Thoracic Radiology
    • Lung Cancer Research
    • Biomedical Informatics
  • #4

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Thoracic Surgery
    • Oncology
    • AI in Medical Imaging
  • #5

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Pulmonary Medicine
    • Biomedical Data Science
    • AI and Machine Learning

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