Spine segmentation using articulated shape models

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 227-234

  Klinder, Tobias ^a,b   Wolz, Robin ^b   Lorenz, Cristian ^b   Franz, Astrid ^b   Ostermann, Jörn ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL MODELS; CO-ORDINATE SYSTEM; IMAGE FEATURES; INDIVIDUAL OBJECTS; MEDICAL IMAGES; PRIOR KNOWLEDGE; SEGMENTATION ACCURACY; SEGMENTATION RESULTS; SHAPE MODEL; SPATIAL RELATIONS; THORACIC CT; TRIANGULATED SURFACES;

COMPUTER SCIENCE; COMPUTERIZED TOMOGRAPHY; MEDICAL IMAGING;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINE; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 58849086415     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_28     Document Type: Conference Paper

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