Brain extraction based on locally linear representation-based classification

Brain extraction is an important procedure in brain image analysis. Although numerous brain extraction methods have been presented, enhancing brain extraction methods remains challenging because brain MRI images exhibit complex characteristics, such as anatomical variability and intensity difference...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2014-05, Vol.92, p.322-339
Hauptverfasser:	Huang, Meiyan, Yang, Wei, Jiang, Jun, Wu, Yao, Zhang, Yu, Chen, Wufan, Feng, Qianjin
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Algorithms Alzheimer Disease - pathology Automation Biological and medical sciences Brain - pathology Brain extraction Child Classification Computer Simulation Female Fundamental and applied biological sciences. Psychology Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Label fusion Linear Models Local anchor embedding Locally Linear Representation-based Classification Magnetic Resonance Imaging - methods Male Middle Aged Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Skull - pathology Standard deviation Studies Subtraction Technique Vertebrates: nervous system and sense organs Young Adult
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