Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images

Introduction: The aim of this study was to develop a pipeline using state-of-the-art deep learning methods to automatically delineate and measure several of the most important brain structures in fetal brain ultrasound (US) images. Methods: The dataset was composed of 5,331 images of the fetal brain...

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Veröffentlicht in:	Fetal diagnosis and therapy 2023-12, Vol.50 (6), p.480-490
Hauptverfasser:	Coronado-Gutiérrez, David, Eixarch, Elisenda, Monterde, Elena, Matas, Isabel, Traversi, Paola, Gratacós, Eduard, Bonet-Carne, Elisenda, Burgos-Artizzu, Xavier P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain - diagnostic imaging Deep Learning Female Fetal brain Fetus - diagnostic imaging Head - diagnostic imaging Health aspects Humans Machine learning Medical examination Methods Pregnancy Prenatal diagnosis Research Article Ultrasonography, Prenatal - methods
Online-Zugang:	Volltext
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