Magnetic resonance imaging bias field estimation and tissue segmentation via convolutional neural networks and multiplicative and additive intrinsic components optimization

Magnetic resonance imaging (MRI) brain tissue segmentation is essential for the diagnosis and treatment of neurological diseases; however, intensity inhomogeneity poses a significant challenge, particularly in data-limited scenarios. This study aimed to explore an algorithm designed to robustly addr...

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Veröffentlicht in:	Intelligent medicine
Hauptverfasser:	Liu, Jun, Peng, Yuliang, Pu, Mingshu, Tang, Ling, Shao, Lizhi, Wang, Pengxiang, Yang, Lan, Huang, Furong, Shen, Zijie, Li, Chunming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2025
Schlagworte:	Attention mechanism Brain segmentation Deep learning Intensity inhomogeneity Internal Medicine Magnetic resonance imaging Deep learning Brain segmentation Attention mechanism Intensity inhomogeneity Magnetic resonance imaging
ISSN:	2667-1026
Online-Zugang:	Volltext
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