reviewIEEE Reviews in Biomedical EngineeringJan 24, 2024Closed access

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

Hong Kong University of Science and Technology · Zhejiang Lab · +4 more institutions

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Abstract

Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Breast imaging plays a significant role in early diagnosis and intervention to improve the outcome of breast cancer patients. In the past decade, deep learning has shown remarkable progress in breast cancer imaging analysis, holding great promise in interpreting the rich information and complex context of breast imaging modalities. Considering the rapid improvement in deep learning technology and the increasing severity of breast cancer, it is critical to summarize past progress and identify future challenges to be addressed. This paper provides an extensive review of deep learning-based breast cancer imaging…

Citation impact

125
total citations
FWCI
38.55
Percentile
100%
References
329
Citations per year

Authors

10

Topics & keywords

Keywords
  • Breast cancer
  • Deep learning
  • Breast imaging
  • Medicine
  • Context (archaeology)
  • Mammography
  • Magnetic resonance imaging
  • Cancer
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