A multi-stage fusion framework to classify breast lesions using deep learning and radiomics features computed from four-view mammograms.

Journal: Medical physics
Published Date: Apr 21, 2023

Abstract

BACKGROUND: Developing computer aided diagnosis (CAD) schemes of mammograms to classify between malignant and benign breast lesions has attracted a lot of research attention over the last several decades. However, unlike radiologists who make diagnostic decisions based on the fusion of image features extracted from multi-view mammograms, most CAD schemes are single-view-based schemes, which limit CAD performance and clinical utility.

Authors

  • Meredith A Jones
    School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA.
  • Negar Sadeghipour
    School of Electrical & Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
  • Xuxin Chen
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
  • Warid Islam
    School of Electrical & Computer Engineering, University of Oklahoma, Norman, OK 73019, USA.
  • Bin Zheng
    School of Electrical and Computer Engineering, University of Oklahoma, 101 David L. Boren Blvd, Norman, OK, 73019, USA.

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