Anatomy-guided visual prompt tuning for cross-modal breast cancer understanding - Top-Institutions - MDSpire

Anatomy-guided visual prompt tuning for cross-modal breast cancer understanding

  • By

  • Shaorong Zhao

  • Qingxiang Meng

  • Yang He

  • Xiaotong Xu

  • Jiayao Zhu

  • Jiawen Qiu

  • Chao Wu

  • Yamei Han

  • Jinhai Deng

  • Teng Pan

  • Jingjing Liu

  • February 13, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Breast Cancer Research
    • Radiology
    • Computational Oncology

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Breast Imaging
    • Radiology
    • Machine Learning in Oncology

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Radiology
    • Breast Cancer Imaging

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Breast Imaging
    • Radiology
    • AI in Medical Imaging

  • #5

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Breast Cancer Imaging
    • Biomedical Engineering

Original Source(s)

Anatomy-guided visual prompt tuning for cross-modal breast cancer understanding

  • by Shaorong Zhao, Qingxiang Meng, Yang He, Xiaotong Xu, Jiayao Zhu, Jiawen Qiu, Chao Wu, Yamei Han, Jinhai Deng, Teng Pan, Jingjing Liu

  • February 13, 2026

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