AUTHOR=Lei Yu-Meng , Yin Miao , Yu Mei-Hui , Yu Jing , Zeng Shu-E , Lv Wen-Zhi , Li Jun , Ye Hua-Rong , Cui Xin-Wu , Dietrich Christoph F. 

TITLE=Artificial Intelligence in Medical Imaging of the Breast

JOURNAL=Frontiers in Oncology

VOLUME=11

YEAR=2021

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2021.600557

DOI=10.3389/fonc.2021.600557

ISSN=2234-943X

ABSTRACT=<p>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, <italic>in vitro</italic> 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 <italic>via</italic> 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.</p>