Research progresses of deep learning applicated in prenatal ultrasonic section analysis
10.13929/j.issn.1003-3289.2023.12.037
- VernacularTitle:深度学习用于产前超声显示切面分析研究进展
- Author:
Yunyue GAO
1
;
Lin FU
;
Zongmin WANG
Author Information
1. 内蒙古医科大学附属医院超声诊断科,内蒙古呼和浩特 010050
- Keywords:
deep learning;
ultrasonography,prenatal
- From:
Chinese Journal of Medical Imaging Technology
2023;39(12):1902-1905
- CountryChina
- Language:Chinese
-
Abstract:
Ultrasound has become the optimal imaging method for prenatal screening,whereas the operator dependence and high imaging variability may affect the accuracy of results and examination efficiency.Applied in segmentation and recognition tasks in images,deep learning(DL)is able to derive higher-level features from lower-level features,accurately characterize the inherent laws or information features of raw data.The research progresses of DL applicated in prenatal ultrasonic section analysis were reviewed in this article.
