Application of Deep Learning-based Ultrasound Image Recognition in Prenatal Screening
10.3870/j.issn.1672-0741.23.10.021
- VernacularTitle:基于深度学习的超声图像识别在产前筛查中的应用
- Author:
Xinhui SU
1
;
Xin YANG
;
Yao FAN
Author Information
1. 华中科技大学同济医学院附属同济医院妇产科,武汉 430030
- Keywords:
prenatal screening;
fetal ultrasound;
deep learning;
artificial intelligence
- From:
Acta Medicinae Universitatis Scientiae et Technologiae Huazhong
2024;53(5):693-697,712
- CountryChina
- Language:Chinese
-
Abstract:
Ultrasound has become one of the most important imaging modalities for prenatal screening because of its advan-tages of not requiring irradiation and easy operation,and it is widely used throughout pregnancy.With the rapid development of artificial intelligence,ultrasound image recognition based on deep learning has been researched extensively in the application of prenatal screening and has shown significant advantages in the detection of fetal cranial and cardiac structures and fetal anoma-lies.This technology can improve the efficiency of prenatal ultrasound screening,increase the detection rate of fetal anomalies,optimize the quality of healthcare services,and improve patient professionalism and patient satisfaction.Moreover,it plays a cru-cial role in improving healthcare access in rural and low-income areas,supporting existing clinical practices,and streamlining workflow processes.
