Developing a transfer learning model for the prediction of Down syndrome from first-trimester ultrasound images

Objective: Down syndrome is the most common chromosomal disorder, frequently associated with increased nuchal translucency (NT) and an absent nasal bone (NB) during first-trimester ultrasound. This study aims to develop a transfer learning (TL) model for the automated detection of fetuses at high ri...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Chen-Yu Chen, Ci-An Wang, Jhuang-Hao Cyue, Chie-Pein Chen, Fang-Ju Sun, Yi-Yung Chen, Liang-Kai Wang, Chao-Wei Chang, Bing-Yan Tsai, Kuo-Ping Chen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-11-01
Schriftenreihe:	Taiwanese Journal of Obstetrics & Gynecology
Schlagworte:	Down syndrome First-trimester ultrasound Nuchal translucency Nasal bone Artificial intelligence
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1028455925002487
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