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Artificial intelligence in breast imaging: Current situation and clinical challenges.

Authors :
You, Chao
Shen, Yiyuan
Sun, Shiyun
Zhou, Jiayin
Li, Jiawei
Su, Guanhua
Michalopoulou, Eleni
Peng, Weijun
Gu, Yajia
Guo, Weisheng
Cao, Heqi
Source :
Exploration; Oct2023, Vol. 3 Issue 5, p1-16, 16p
Publication Year :
2023

Abstract

Breast cancer ranks among the most prevalent malignant tumours and is the primary contributor to cancer‐related deaths in women. Breast imaging is essential for screening, diagnosis, and therapeutic surveillance. With the increasing demand for precision medicine, the heterogeneous nature of breast cancer makes it necessary to deeply mine and rationally utilize the tremendous amount of breast imaging information. With the rapid advancement of computer science, artificial intelligence (AI) has been noted to have great advantages in processing and mining of image information. Therefore, a growing number of scholars have started to focus on and research the utility of AI in breast imaging. Here, an overview of breast imaging databases and recent advances in AI research are provided, the challenges and problems in this field are discussed, and then constructive advice is further provided for ongoing scientific developments from the perspective of the National Natural Science Foundation of China. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27668509
Volume :
3
Issue :
5
Database :
Complementary Index
Journal :
Exploration
Publication Type :
Academic Journal
Accession number :
173054865
Full Text :
https://doi.org/10.1002/EXP.20230007