Intelligent quality assessment of ultrasound images for fetal nuchal translucency measurement during the first trimester of pregnancy based on deep learning models

Intelligent quality assessment of ultrasound images for fetal nuchal translucency measurement during the first trimester of pregnancy based on deep learning models

Abstract Objective As increased nuchal translucency (NT) thickness is notably associated with fetal chromosomal abnormalities, structural defects, and genetic syndromes, accurate measurement of NT thickness is crucial for the screening of fetal abnormalities during the first trimester. We aimed to d...

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Bibliographic Details
Main Authors: Lu Liu, Ting Wang, Wenjing Zhu, Haidong Zhang, Hongyan Tian, Yanping Li, Wenjun Cai, Peng Yang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Pregnancy and Childbirth
Subjects:
Quality assessment
Nuchal translucency
Deep learning
Vision transformer
Ultrasound standard section
Online Access:https://doi.org/10.1186/s12884-025-07863-y
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https://doi.org/10.1186/s12884-025-07863-y

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