Siyan Liu1,*, Guihua Wu2,*, Changjiang Zhou2,#, Shiju Yan1,#, Haipo Cui1
1School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai
200093, China. 2Department of Sonography, People's Hospital Affiliated to Shandong First Medical University,
Jinan 271100, Shandong, China.
*The authors contribute equally.
#Address correspondence to: Changjiang Zhou, Department of Sonography, People's Hospital Affiliated to Shandong First Medical University, Changshao North Road, Laiwu District, Jinan 271100, China. E-mail: 390585866@
qq.com/jnsrmyybgs@jn.shandong.cn. Shiju Yan, School of Health Science and Engineering, University of Shanghai
for Science and Technology, No.516 Jungong Road, Yangpu District, Shanghai 200093, China. Tel: 18217617984.
E-mail: yanshiju@usst.edu.cn.
DOI: https://doi.org/10.61189/295735bbiagx
Received September 22, 2023; Accepted December 6, 2023; Published March 31, 2024
Highlights
Computer-assisted detection, diagnosis, and prediction systems have played an effective role in diagnosing and
treating female breast diseases and monitoring the course of disease. Especially in mammography imaging, they
provide key support for the early diagnosis of breast cancer. This highlights the significance of modern technology
in enhancing breast disease management and improving women's health.