Learning likelihoods for labeling (L3): A general multi-classifier segmentation algorithm

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 322-329

  Weisenfeld, Neil I ^a   Warfield, Simon K ^a  

^a BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN SEGMENTATION; BRAIN TISSUE; CLASSIFICATION ACCURACY; FUSION ALGORITHMS; FUSION METHODS; FUSION TECHNIQUES; MAJORITY VOTE; MRI SEGMENTATION; MULTI-CLASSIFIER; MULTISPECTRAL CLASSIFICATION; SEGMENTATION ALGORITHMS; STATISTICAL CLASSIFIER; SUBCORTICAL STRUCTURES;

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED INSTRUCTION; HISTOLOGY; IMAGE SEGMENTATION; MEDICAL COMPUTING; TISSUE;

ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER PROGRAM; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; LEARNING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN MAPPING; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEARNING; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 82255185750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_40     Document Type: Conference Paper

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