Joint sulci detection using graphical models and boosted priors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4584 LNCS, Issue , 2007, Pages 98-109

  Shi, Yonggang ^a   Tu, Zhuowen ^a   Reiss, Allan L ^b   Dutton, Rebecca A ^a   Lee, Agatha D ^a   Galaburda, Albert M ^c   Dinov, Ivo ^a   Thompson, Paul M ^a   Toga, Arthur W ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PATTERN RECOGNITION;

BELIEF PROPAGATION; GRAPHICAL MODELS; JOINT SULCI DETECTION;

SURFACE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL CORTEX; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 38149142444     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_9     Document Type: Conference Paper

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