Automatic segmentation of bladder and prostate using coupled 3D deformable models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 252-260

  Costa, María Jimena ^a   Delingette, Hervé ^a   Novellas, Sébastien ^a   Ayache, Nicholas ^a  

^a NONE

Author keywords

3D segmentation; Bladder; Coupled deformable models; CT; Prostate

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DATABASE SYSTEMS; IMAGE SEGMENTATION; PATIENT MONITORING; STATISTICAL METHODS; THREE DIMENSIONAL;

BLADDER; CONTRAST AGENTS; COUPLED DEFORMABLE MODELS; PROSTATE; VOLUMETRIC IMAGES;

BIOLOGICAL ORGANS;

ABDOMINAL RADIOGRAPHY; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BLADDER; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; ELASTICITY; HUMAN; IMAGE QUALITY; MALE; METHODOLOGY; PROSTATE; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELASTICITY; HUMANS; IMAGING, THREE-DIMENSIONAL; MALE; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PROSTATE; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; URINARY BLADDER;

EID: 38149062732     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_31     Document Type: Conference Paper

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