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Review
. 2021 Jul 22:11:600557.
doi: 10.3389/fonc.2021.600557. eCollection 2021.

Artificial Intelligence in Medical Imaging of the Breast

Yu-Meng Lei  1 , Miao Yin  1 , Mei-Hui Yu  1 , Jing Yu  1 , Shu-E Zeng  2 , Wen-Zhi Lv  3 , Jun Li  4 , Hua-Rong Ye  1 , Xin-Wu Cui  5 , Christoph F Dietrich  6
Affiliations
Review

Artificial Intelligence in Medical Imaging of the Breast

Yu-Meng Lei et al. Front Oncol. .

Abstract

Artificial intelligence (AI) has invaded our daily lives, and in the last decade, there have been very promising applications of AI in the field of medicine, including medical imaging, in vitro diagnosis, intelligent rehabilitation, and prognosis. Breast cancer is one of the common malignant tumors in women and seriously threatens women's physical and mental health. Early screening for breast cancer via mammography, ultrasound and magnetic resonance imaging (MRI) can significantly improve the prognosis of patients. AI has shown excellent performance in image recognition tasks and has been widely studied in breast cancer screening. This paper introduces the background of AI and its application in breast medical imaging (mammography, ultrasound and MRI), such as in the identification, segmentation and classification of lesions; breast density assessment; and breast cancer risk assessment. In addition, we also discuss the challenges and future perspectives of the application of AI in medical imaging of the breast.

Keywords: artificial intelligence; breast; deep learning; imaging; machine learning.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
(A) A 50-year-old woman was diagnosed with invasive cancer, and the results of CAD (S-Detect, Samsung RS80A ultrasound system) were “possibly malignant”; (B) A 48-year-old woman was diagnosed with adenosis, and the results of CAD were “possibly benign”.
See this image and copyright information in PMC

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