Optimizing Temporal Features in Ultrasound Imaging: A Multi-Channel Deep Learning Approach for Improved Differentiation of Breast Lesions - Top-Institutions - DentalSpire

Optimizing Temporal Features in Ultrasound Imaging: A Multi-Channel Deep Learning Approach for Improved Differentiation of Breast Lesions

  • By

  • Patrice Monkam

  • Xu Wang

  • Bonan Zhao

  • Shouliang Qi

  • Chunxiao Cui

  • Dan Zhao

  • Tao Yu

  • Chang Liu

  • November 10, 2025

  • 0 min

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Top Institutions in Dental

Brief introduction explaining scope and methodology.

  • #1

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Breast Imaging
    • Medical Ultrasound
    • Artificial Intelligence in Oncology

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Breast Imaging
    • Ultrasound Technology
    • Machine Learning in Medical Imaging

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Medical Imaging
    • Deep Learning
    • Breast Cancer Diagnostics

  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Breast Imaging
    • Ultrasound Research
    • AI in Radiology

  • #5

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Breast Imaging
    • Ultrasound
    • Artificial Intelligence

Original Source(s)

Optimizing Temporal Features in Ultrasound Imaging: A Multi-Channel Deep Learning Approach for Improved Differentiation of Breast Lesions

  • by Patrice Monkam, Xu Wang, Bonan Zhao, Shouliang Qi, Chunxiao Cui, Dan Zhao, Tao Yu, Chang Liu

  • November 10, 2025

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