Multi-atlas based segmentation using probabilistic label fusion with adaptive weighting of image similarity measures

Computer Methods and Programs in Biomedicine

Volumn 110, Issue 3, 2013, Pages 308-319

  Sjoberg C ^a,b   Ahnesjo A ^a  

^a UPPSALA UNIVERSITY   (Sweden)

^b Elekta AB   (Sweden)

Author keywords

Atlas based segmentation; Deformable registration; Label fusion; Multi atlas segmentation; Radiotherapy prostate; Segmentation

Indexed keywords

ADAPTIVE WEIGHTING; ATLAS-BASED SEGMENTATION; DEFORMABLE REGISTRATION; LABEL FUSIONS; MULTI ATLAS-BASED SEGMENTATIONS; SEGMENTATION QUALITY; SEGMENTATION RESULTS; SIMILARITY MEASURE;

IMAGE ANALYSIS; IMAGE FUSION; UROLOGY;

IMAGE SEGMENTATION;

ARTICLE; ATLAS; DATA BASE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LINEAR REGRESSION ANALYSIS; PROBABILITY; SYSTEM ANALYSIS; WEIGHT;

ADENOCARCINOMA; ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; MALE; MODELS, STATISTICAL; PROSTATIC NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84877055478     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2012.12.006     Document Type: Article

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