A fuzzy region-based hidden Markov model for partial-volume classification in brain MRI

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 474-481

  Huang, Albert ^a   Abugharbieh, Rafeef ^a   Tam, Roger ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; ITERATIVE METHODS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEAN SQUARE ERROR; MEDICAL COMPUTING;

BRAIN MAGNETIC RESONANCE IMAGES; CLASSIFICATION ACCURACY; GRAPHICAL REPRESENTATIONS; ITERATIVE COMPUTATION; MULTIPLE SCLEROSIS; PARTIAL VOLUME EFFECT; PRIMARY CONTRIBUTION; QUANTITATIVE RESULT;

MEDICAL IMAGING;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; FUZZY LOGIC; HISTOLOGY; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ARTIFICIAL INTELLIGENCE; BRAIN; FUZZY LOGIC; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84861657351     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_58     Document Type: Conference Paper

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