Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. Structural annotations of MR images are an important step for quantitative analysis of the developing human brain, with Deep Learning providing an automated alternative for this otherwise tedious manual...

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Detalhes bibliográficos

Principais autores:	Ziyao Shang, Misha Kaandorp, Kelly Payette, Marina Fernandez Garcia, Roxane Licandro, Georg Langs, Jordina Aviles Verdera, Jana Hutter, Bjoern Menze, Gregor Kasprian, Meritxell Bach Cuadra, Andras Jakab
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-02-01
coleção:	NeuroImage
Assuntos:	MR image segmentation Domain shift Deep neural networks Human brain development Data augmentation
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1053811926000479
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