User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

NeuroImage

Volumn 31, Issue 3, 2006, Pages 1116-1128

  Yushkevich, Paul A ^a   Piven, Joseph ^b   Hazlett, Heather Cody ^b   Smith, Rachel Gimpel ^b   Ho, Sean ^b   Gee, James C ^a   Gerig, Guido ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

3D active contour models; Anatomical objects; Caudate nucleus; Computational anatomy; Image segmentation; Open source software; Validation

Indexed keywords

ARTICLE; AUTISM; BRAIN LATERAL VENTRICLE; CAUDATE NUCLEUS; COMPUTER PROGRAM; INTERRATER RELIABILITY; INTRARATER RELIABILITY; NEUROIMAGING; PHILOSOPHY; PRIORITY JOURNAL; RELIABILITY; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

BRAIN; CAUDATE NUCLEUS; DOMINANCE, CEREBRAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MATHEMATICAL COMPUTING; SOFTWARE; SOFTWARE VALIDATION; USER-COMPUTER INTERFACE;

EID: 33744930583     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2006.01.015     Document Type: Article

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