RS 2 -Net: An end-to-end deep learning framework for rodent skull stripping in multi-center brain MRI

Skull stripping is a crucial preprocessing step in magnetic resonance imaging (MRI), where experts manually create brain masks. This labor-intensive process heavily relies on the annotator's expertise, as automation faces challenges such as low tissue contrast, significant variations in image r...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2024-09, Vol.298, p.120769, Article 120769
Hauptverfasser:	Lin, Yongkang, Ding, Yanhui, Chang, Shulei, Ge, Xinting, Sui, Xiaodan, Jiang, Yanyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Deep learning Image processing Magnetic resonance imaging Neural networks Neuroimaging Skull
Online-Zugang:	Volltext
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