Application of deep learning techniques in fetal ultrasound standard plane detection
10.19745/j.1003-8868.2025093
- VernacularTitle:深度学习技术在胎儿超声标准切面检测中的应用综述
- Author:
Tian-xiang YU
1
;
Guang-yu BIN
1
;
Shui-cai WU
1
;
Zhu-huang ZHOU
1
Author Information
1. 北京工业大学化学与生命科学学院,智能化生理测量与临床转化北京市国际科研合作基地,北京 100124
- Publication Type:Journal Article
- Keywords:
deep learning;
fetal ultrasound;
ultrasound standard plane detection;
image classification
- From:
Chinese Medical Equipment Journal
2025;46(5):91-101
- CountryChina
- Language:Chinese
-
Abstract:
Fetal ultrasound standard plane detection was introduced in terms of its importance and problems encountered.The deep learning techniques applied in fetal standard plane detection were reviewed,including transfer learning,modified basic network,hybrid network and multi-task network.The problems encountered by the deep learning techniques during the application were analyzed,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(5):91-101]
