ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks

Brain extraction (skull stripping) is a challenging problem in neuroimaging. It is due to the variability in conditions from data acquisition or abnormalities in images, making brain morphology and intensity characteristics changeable and complicated. In this paper, we propose an algorithm for skull...

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Veröffentlicht in:	arXiv.org 2022-01
Hauptverfasser:	Nguyen, Duy H M, Nguyen, Duy M, Truong, Mai T N, Nguyen, Thu, Tran, Khanh T, Triet, Nguyen A, Bao, Pham T, Nguyen, Binh T
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Brain Computer Science - Computer Vision and Pattern Recognition Gaussian process Image detection Image segmentation Magnetic resonance imaging Medical imaging Neural networks Neurology NMR Nuclear magnetic resonance Post-production processing R&D Research & development Skull Stripping
Online-Zugang:	Volltext
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