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

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 categorisa...

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Bibliographic Details
Published in:	BMC Cancer
Main Authors:	Niu, Sihua, Huang, Jianhua, Li, Jia, Liu, Xueling, Wang, Dan, Zhang, Ruifang, Wang, Yingyan, Shen, Huiming, Qi, Min, Xiao, Yi, Guan, Mengyao, Liu, Haiyan, Li, Diancheng, Liu, Feifei, Wang, Xiuming, Xiong, Yu, Gao, Siqi, Wang, Xue, Zhu, Jiaan
Format:	Artigo
Language:	Inglês
Published:	BioMed Central 2020
Subjects:	Research Article
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC7532640/ https://ncbi.nlm.nih.gov/pubmed/33008320 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-07413-z
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Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A

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