Simultaneous truth and performance level estimation through fusion of probabilistic segmentations

IEEE Transactions on Medical Imaging

Volumn 32, Issue 10, 2013, Pages 1840-1852

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

^a BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

Label fusion; Performance evaluation; Probabilistic segmentation; Reference standard; Simultaneous truth and performance level estimation (STAPLE)

Indexed keywords

GAUSSIAN MIXTURE MODEL; INTENSITY INFORMATION; LABEL FUSIONS; PERFORMANCE EVALUATION; PERFORMANCE LEVEL; REFERENCE STANDARD; SEGMENTATION METHODS; SEGMENTATION PERFORMANCE;

ALGORITHMS; ESTIMATION; IMAGE FUSION; MAGNETIC RESONANCE IMAGING;

IMAGE SEGMENTATION;

ACCURACY; ALGORITHM; ARTICLE; CALCULATION; CLASSIFIER; CONTROLLED STUDY; IMAGE QUALITY; IMAGE SEGMENTATION; IMAGING AND DISPLAY; INTERMETHOD COMPARISON; KERNEL METHOD; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; STANDARD;

ALGORITHMS; BRAIN; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 84885097536     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2266258     Document Type: Article

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