Breast tumor diagnosis via multimodal deep learning using ultrasound B-mode and Nakagami images.

Oncology/Hematology Pain Management Pathology Radiology
Journal: Journal of medical imaging (Bellingham, Wash.)
Published Date: Nov 1, 2025

Abstract

PURPOSE: We propose and evaluate multimodal deep learning (DL) approaches that combine ultrasound (US) B-mode and Nakagami parametric images for breast tumor classification. It is hypothesized that integrating tissue brightness information from B-mode images with scattering properties from Nakagami images will enhance diagnostic performance compared with single-input approaches.

Authors

  • Sabiq Muhtadi
    University of North Carolina at Chapel Hill, North Carolina State University, Lampe Joint Department of Biomedical Engineering, Chapel Hill, North Carolina, United States.
  • Caterina M Gallippi
    University of North Carolina at Chapel Hill, North Carolina State University, Lampe Joint Department of Biomedical Engineering, Chapel Hill, North Carolina, United States.

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