Hierarchical performance estimation in the statistical label fusion framework

Medical Image Analysis

Volumn 18, Issue 7, 2014, Pages 1070-1081

  Asman, Andrew J ^a   Landman, Bennett A ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Hierarchical segmentation; Label fusion; Multi atlas segmentation; Rater performance models; STAPLE

Indexed keywords

HIERARCHICAL SYSTEMS;

HIERARCHICAL SEGMENTATION; LABEL FUSIONS; PERFORMANCE ESTIMATION; PERFORMANCE MODEL; PRIMARY CONTRIBUTION; SIMULTANEOUS ESTIMATION; STAPLE; STATISTICAL LABEL FUSIONS;

STATISTICS;

ANATOMY; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONCEPTUAL FRAMEWORK; DIAGNOSTIC IMAGING; LABEL FUSION; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION; STATISTICAL PARAMETERS; ADOLESCENT; ADULT; AGED; ALGORITHM; BRAIN MAPPING; CHILD; COMPUTER ASSISTED DIAGNOSIS; HUMAN; MALE; MIDDLE AGED; MONTE CARLO METHOD; PROCEDURES; STATISTICAL MODEL; VERY ELDERLY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN MAPPING; CHILD; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MONTE CARLO METHOD; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84904250168     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.06.005     Document Type: Article

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