Incorporating priors on expert performance parameters for segmentation validation and label fusion: A maximum a posteriori STAPLE

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 25-32

  Commowick, Olivier ^a,b   Warfield, Simon K ^b  

^a INRIA   (France)

^b BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATLAS CONSTRUCTION; BETA DISTRIBUTIONS; DECISION FUSION; EXPECTATION-MAXIMIZATION ALGORITHMS; EXPERT PERFORMANCE; LOCAL OPTIMA; MAXIMUM A POSTERIORI; MISCLASSIFICATIONS; MISSING INFORMATION; OTHER APPLICATIONS; PERFORMANCE LEVEL; PERFORMANCE PARAMETERS; PRIOR PROBABILITY; SEGMENTATION PERFORMANCE;

CONVERGENCE OF NUMERICAL METHODS; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

ALGORITHMS;

ADULT; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; EXPERT SYSTEM; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION STUDY;

ADULT; ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; EXPERT SYSTEMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MALE; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 80053472326     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_4     Document Type: Conference Paper

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