Li, Jian http://orcid.org/0000-0001-9392-9449
Jin, Linyuan
Wang, Zhiyuan http://orcid.org/0000-0002-6867-2386
Peng, Qinghai http://orcid.org/0000-0002-5726-3202
Wang, Yueai http://orcid.org/0000-0003-1624-9276
Luo, Jia
Zhou, Jiawei
Cao, Yingying
Zhang, Yanfen
Zhang, Min
Qiu, Yuewen
Hu, Qiang
Chen, Liyun
Yu, Xiaoyu
Zhou, Xiaohui
Li, Qiong
Zhou, Shu
Huang, Si
Luo, Dan
Mao, Xingxing
Yu, Yi
Yang, Xiaomeng
Pan, Chiling
Li, Hongxin
Wang, Jingchao
Liao, Jieke
Funding for this research was provided by:
The Scientific Research Program of Hunan Provincial Health Commission
Article History
Received: 7 September 2022
Accepted: 17 January 2023
First Online: 3 February 2023
Competing interests
: Guangzhou Yirui Zhiying Technology Co. Ltd., applied for two invention patents, the inventors of the first patent are J.L., L.J., Y.Z., J.W., and C.S., application number: 2021104443668, the status of application: published, publication number: CN113053523A, specific aspect of manuscript covered in the patent application: a continuous self-learning multi-model fusion ultrasonic breast mass accurate identification system; the inventors of the second patent are J.L., L.J., Y.Z., M.Z., H.L., J.W., and J.Li., application number: CN202210496285.7, the status of application: published, publication number: CN114822820A, specific aspect of manuscript covered in the patent application: realized Preferred integrated systems and methods for real-time supervision of continuous deep learning models. All other authors declare no competing interests.