Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A

Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A

Abstract Background The classification of Breast Imaging Reporting and Data System 4A (BI-RADS 4A) lesions is mostly based on the personal experience of doctors and lacks specific and clear classification standards. The development of artificial intelligence (AI) provides a new method for BI-RADS ca...

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Bibliographic Details
Main Authors: Sihua Niu, Jianhua Huang, Jia Li, Xueling Liu, Dan Wang, Ruifang Zhang, Yingyan Wang, Huiming Shen, Min Qi, Yi Xiao, Mengyao Guan, Haiyan Liu, Diancheng Li, Feifei Liu, Xiuming Wang, Yu Xiong, Siqi Gao, Xue Wang, Jiaan Zhu
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Cancer
Subjects:
Artificial intelligence
Breast
BI-RADS 4A
Differential diagnosis
Online Access:http://link.springer.com/article/10.1186/s12885-020-07413-z

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http://link.springer.com/article/10.1186/s12885-020-07413-z

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