Conditional variability of statistical shape models based on surrogate variables

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 84-91

  Blanc, Rémi ^a   Reyes, Mauricio ^b   Seiler, Christof ^a   Székely, Gábor ^a  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF BERN   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE SHAPE MODELS; ANATOMICAL CONSTRAINT; ELASTIC REGISTRATION; HUMAN FEMORA; JOINT DENSITIES; KERNEL DENSITY; SEARCH SPACES; SHAPE DEFORMATION; SHAPE DISTRIBUTION; SHAPE MODEL; STATISTICAL SHAPE MODEL;

IMAGE SEGMENTATION;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EQUIPMENT; FEMUR; HUMAN; IMAGE QUALITY; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; EFFECT MODIFIERS (EPIDEMIOLOGY); FEMUR; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84883848485     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_11     Document Type: Conference Paper

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