Shape analysis using a point-based statistical shape model built on correspondence probabilities

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 959-967

  Hufnagel, Heike ^a,b   Pennec, Xavier ^a   Ehrhardt, Jan ^b   Handels, Heinz ^b   Ayache, Nicholas ^a  

^a INRIA   (France)

^b UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; IMAGE ANALYSIS; ITERATIVE METHODS; PROBABILITY; STATISTICAL METHODS;

AUTOMATIC CLASSIFICATION METHOD; CORRESPONDENCE PROBABILITIES; ITERATIVE CLOSEST POINT ALGORITHM; SYNTHETIC DATA;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; METHODOLOGY; PUTAMEN; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PUTAMEN; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84883845533     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_116     Document Type: Conference Paper

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