Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans

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

Volumn 7512 LNCS, Issue , 2012, Pages 590-598

  Glocker, Ben ^a   Feulner, J ^b   Criminisi, Antonio ^a   Haynor, D R ^c   Konukoglu, E ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING; MEDICAL IMAGING;

AUTOMATIC LOCALIZATION; COMPUTATIONALLY EFFICIENT; GENERATIVE MODEL; IDENTIFICATION RATES; LOCALIZATION AND IDENTIFICATION; LOCALIZATION ERRORS; PROBABILISTIC GRAPHICAL MODELS; REGRESSION FORESTS;

COMPUTERIZED TOMOGRAPHY;

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

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

MLCS; MLOWN;

EID: 84872956864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_73     Document Type: Conference Paper

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