Design of robust vascular tree matching: Validation on liver

Lecture Notes in Computer Science

Volumn 3565, Issue , 2005, Pages 443-455

  Charnoz, Arnaud ^a,c   Agnus, Vincent ^a   Malandain, Grégoire ^b   Nicolau, Stéphane ^a   Tajine, Mohamed ^c   Soler, Luc ^a  

^a IRCAD   (France)

^b INRIA   (France)

^c Faculté de Médecine   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; PATIENT MONITORING; TOPOLOGY;

CT-SCAN IMAGES; INTRA-PATIENT HEPATIC VASCULAR SYSTEM; SYNTHETIC DATABASE; TREE MATCHING ALGORITHM;

TREES (MATHEMATICS);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION; HEPATIC ARTERY; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LIVER; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY; VASCULARIZATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEPATIC ARTERY; HUMANS; IMAGING, THREE-DIMENSIONAL; LIVER; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34047197911     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11505730_37     Document Type: Conference Paper

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