A Transparent Machine Learning Approach Using Ultrasound Radiomics for Preoperative Distinction Between Granulomatous Lobular Mastitis and Breast Cancer - Top-Institutions - MDSpire

A Transparent Machine Learning Approach Using Ultrasound Radiomics for Preoperative Distinction Between Granulomatous Lobular Mastitis and Breast Cancer

  • By

  • Jinhong Zhou

  • Zhongcun Lai

  • Cishun Yu

  • Dan Liu

  • Yuguo Wei

  • Xiaowei Han

  • Guozheng Zhang

  • April 24, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Radiology
    • Breast Imaging
    • Oncology
    • Machine Learning

  • #2

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Radiology
    • Breast Oncology
    • Biomedical Informatics

  • #3

    Brigham and Women's Hospital / Harvard Medical School
    Brigham and Women's Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Breast Imaging
    • Artificial Intelligence

  • #4

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Breast Imaging
    • Machine Learning
    • Biomedical Engineering

  • #5

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Breast Imaging
    • Oncology
    • Data Science

Original Source(s)

A Transparent Machine Learning Approach Using Ultrasound Radiomics for Preoperative Distinction Between Granulomatous Lobular Mastitis and Breast Cancer

  • by Jinhong Zhou, Zhongcun Lai, Cishun Yu, Dan Liu, Yuguo Wei, Xiaowei Han, Guozheng Zhang

  • April 24, 2026

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