Automatic segmentation of MR brain images of preterm infants using supervised classification.

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第一作者： Pim,Moeskops

第一单位： Image Sciences Institute, University Medical Center Utrecht, The Netherlands; Department of Neonatology, University Medical Center Utrecht, The Netherlands. Electronic address: p.moeskops@umcutrecht.nl.

作者： Pim,Moeskops ^[1] ; Manon J N L,Benders ^[2] ; Sabina M,Chiţ ^[3] ; Karina J,Kersbergen ^[2] ; Floris,Groenendaal ^[2] ; Linda S,de Vries ^[2] ; Max A,Viergever ^[3] ; Ivana,Išgum ^[3]

作者单位： Image Sciences Institute, University Medical Center Utrecht, The Netherlands; Department of Neonatology, University Medical Center Utrecht, The Netherlands. Electronic address: p.moeskops@umcutrecht.nl. ^[1] Department of Neonatology, University Medical Center Utrecht, The Netherlands. ^[2] Image Sciences Institute, University Medical Center Utrecht, The Netherlands. ^[3]

关键词 Automatic brain segmentation MRI Preterm neonatal brain Supervised voxel classification

主题词算法(Algorithms);脑(Brain);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);婴儿, 新生(Infant, Newborn);婴儿, 早产(Infant, Premature);磁共振成像(Magnetic Resonance Imaging)

DOI 10.1016/j.neuroimage.2015.06.007

PMID 26057591

发布时间 2015-08-31

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