Hierarchical part-based detection of 3D flexible tubes: Application to CT colonoscopy

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

Volumn 4191 LNCS - II, Issue , 2006, Pages 462-470

  Barbu, Adrian ^a   Bogoni, Luca ^a   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTERIZED TOMOGRAPHY; DATABASE SYSTEMS; DYNAMIC PROGRAMMING; HIERARCHICAL SYSTEMS;

CT COLONOSCOPY; POLYP DETECTION ALGORITHMS; TUBE DETECTION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; PROSTHESES AND ORTHOSES; RADIOGRAPHY; RECTUM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; COLONOGRAPHY, COMPUTED TOMOGRAPHIC; HUMANS; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; PROSTHESES AND IMPLANTS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RECTUM; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551684723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866763_57     Document Type: Conference Paper

References (5)

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4. Suzuki K., Yoshida H., Nappi J. J., Armato S. G. and Dachman A. H. False-positive Reduction in Computer-aided Detection of Polyps in CT Colonography Based on Multiple Massive Training Artificial Neural Networks. RSNA 2005
5. Tu Z., Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering, ICCV, 2005.