Medical image segmentation using minimal path deformable models with implicit shape priors

IEEE Transactions on Information Technology in Biomedicine

Volumn 10, Issue 4, 2006, Pages 677-684

  Yan, Pingkun ^a,b   Kassim, Ashraf A ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b University of Central Florida   (United States)

Author keywords

Deformable models; Energy minimization; Medical image segmentation; Minimal path; Shape prior modeling

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; INTELLIGENT AGENTS; MATHEMATICAL MODELS; OPTIMIZATION;

DEFORMABLE MODELS; ENERGY MINIMIZATION; MEDICAL IMAGE SEGMENTATION; MINIMAL PATH; SHAPE PRIOR MODELING;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; ELASTICITY; EVALUATION; HUMAN; IMAGE QUALITY; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELASTICITY; HUMANS; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33750209905     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2006.874199     Document Type: Article

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