Segmentation of prostate from 3-D ultrasound volumes using shape and intensity priors in level set framework

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 2341-2344

  Yang, Fuxing ^a   Suri, Jasjit ^b,c   Fenster, Aaron ^d,e  

^a Diagnostic Ultrasound Corporation   (United States)

^b Biomedical Technologies Inc   (United States)

^c IDAHO STATE UNIVERSITY   (United States)

^d ROBARTS RESEARCH INSTITUTE   (Canada)

^e UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FRAMEWORKS; NONPARAMETRIC INTENSITY; PROSTATE SEGMENTATION SYSTEM;

IMAGE ANALYSIS; MATHEMATICAL TRANSFORMATIONS; PHYSIOLOGICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; ULTRASONICS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PROSTATE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PROSTATE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 34047132417     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260000     Document Type: Conference Paper

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