Automatic segmentation of the caudate nucleus from human brain MR images

IEEE Transactions on Medical Imaging

Volumn 26, Issue 4, 2007, Pages 509-517

  Xia, Yan ^a   Bettinger, Keith ^a   Shen, Lin ^a   Reiss, Allan L ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Caudate nucleus; Magnetic resonance imaging (MRI); Segmentation; Validation

Indexed keywords

ALGORITHMS; BRAIN; COMPUTER SOFTWARE; CORRELATION METHODS; DATA STRUCTURES; MAGNETIC RESONANCE IMAGING;

CAUDATE NUCLEUS; REGIONS-OF-INTEREST (ROI);

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; CAUDATE NUCLEUS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CAUDATE NUCLEUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34047149882     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.891481     Document Type: Article

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