MCMC curve sampling for image segmentation

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 477-485

  Fan, Ayres C ^a   Fisher III, John W ^a,b   Wells III, William M ^b,c   Levitt, James J ^c   Willsky, Alan S ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS;

ESTIMATION ERROR; POSTERIOR DISTRIBUTION; TRANSITION PROBABILITIES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; PROSTATE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THALAMUS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; MONTE CARLO METHOD; PATTERN RECOGNITION, AUTOMATED; PROSTATE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; THALAMUS;

EID: 77954036313     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_58     Document Type: Conference Paper

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