Deep learning-based computer-aided detection of ultrasound in breast cancer diagnosis: A systematic review and meta-analysis.

Journal: Clinical radiology
Published Date: Aug 8, 2024

Abstract

PURPOSE: The aim of this meta-analysis was to assess the diagnostic performance of deep learning (DL) and ultrasound in breast cancer diagnosis. Additionally, we categorized the included studies into two subgroups: B-mode ultrasound diagnostic subgroup and multimodal ultrasound diagnostic subgroup, and compared the performance differences of DL algorithms in breast cancer diagnosis using only B-mode ultrasound or multimodal ultrasound.

Authors

  • H Li
    Merck Research Laboratories, Kenilworth, NJ, USA.
  • J Zhao
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
  • Z Jiang
    School of Health Science and Engineering, University of Shanghai for Science and Technology, No.516, Jungong Rd, Shanghai, China.

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