Estimation of the prior distribution of ground truth in the STAPLE algorithm: An empirical bayesian approach

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

Volumn 7510 LNCS, Issue , 2012, Pages 593-600

  Akhondi Asl, Alireza ^a   Warfield, Simon K ^a  

^a BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; MAGNETIC RESONANCE; MAXIMUM PRINCIPLE; MEDICAL COMPUTING; MEDICAL IMAGING;

EMPIRICAL BAYESIAN; EXPECTATION-MAXIMIZATION ALGORITHMS; FUSION ALGORITHMS; FUSION METHODS; PRIOR DISTRIBUTION; STATE OF THE ART; STATE-OF-THE-ART ALGORITHMS; WHITE MATTER;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BRAIN; BREAST; COMPUTER PROGRAM; FACTUAL DATABASE; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BAYES THEOREM; BRAIN; BREAST; DATABASES, FACTUAL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE;

MLCS; MLOWN;

EID: 84872552984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_73     Document Type: Conference Paper

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