Home | Help Center

Endless possibilities in academia

ISSN: 2957-5478
Indexed in: Europub, CNKI, Crossref, Dimensions, Google Scholar
Editor-in-Chief: Haipo Cui
Submit Review
Volume 2, Issue 1
The application of mammography imaging in the diagnosis and prediction of breast diseases

Siyan Liu1,*, Guihua Wu2,*, Changjiang Zhou2,#, Shiju Yan1,#, Haipo Cui


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.

Review Article |Published on: 29 March 2024

[Progress in Medical Devices] 2024; 2 (1): 1-11.

DOI: https://doi.org/10.61189/295735bbiagx
PDF
CITE