Appearance-based modeling for segmentation of hippocampus and amygdala using multi-contrast MR imaging

NeuroImage

Volumn 58, Issue 2, 2011, Pages 549-559

  Hu, Shiyan ^a   Coupé, Pierrick ^a   Pruessner, Jens C ^a   Collins, D Louis ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ARTICLE; AUTOMATION; BRAIN SIZE; CONTROLLED STUDY; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; VALIDATION PROCESS;

ALGORITHMS; AMYGDALA; ARTIFICIAL INTELLIGENCE; HIPPOCAMPUS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NONLINEAR DYNAMICS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 80051792770     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.06.054     Document Type: Article

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