4.6 Review

Artificial Intelligence in Medical Imaging of the Breast

Journal

FRONTIERS IN ONCOLOGY
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2021.600557

Keywords

artificial intelligence; machine learning; deep learning; breast; imaging

Categories

Funding

  1. key research and development project in Hubei Province [2020BCB022]
  2. Joint Fund project of Hubei Provincial Health and Family Planning Commission [WJ2018H0104]
  3. Natural Science Foundation of Hubei Province [2019CFB2876]
  4. Science and Technology Bureau of Shihezi, China [2019ZH11]

Ask authors/readers for more resources

The application of AI in medical imaging, especially in breast cancer screening, has shown promising results in improving patient prognosis. While there are challenges in the application of AI in breast medical imaging, there is great potential for future development.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available