Modeling of intensity priors for knowledge-based level set algorithm in calvarial tumors segmentation

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

Volumn 4191 LNCS - II, Issue , 2006, Pages 864-871

  Popovic, Aleksandra ^a   Wu, Ting ^a   Engelhardt, Martin ^b   Radermacher, Klaus ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; TISSUE CULTURE; TUMORS;

CALVARIAL TUMORS; LEVEL SET SEGMENTATION; RECEIVER OPERATING CURVES (ROC);

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKULL TUMOR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKULL NEOPLASMS; SUBTRACTION TECHNIQUE;

EID: 79551689517     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866763_106     Document Type: Conference Paper

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