Weights and topology: A study of the effects of graph construction on 3D image segmentation

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 153-161

  Grady, Leo ^a   Jolly, Marie Pierre ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D IMAGE SEGMENTATION; FOCUS OF ATTENTION; GRAPH CONNECTIVITY; GRAPH CONSTRUCTION; GRAPH CUT; GRAPH-BASED; IMAGE CONTENT; IMAGE INTENSITIES; MEDICAL IMAGE SEGMENTATION; OPTIMAL PARTITIONS; RANDOM WALKERS; SEGMENTATION RESULTS; SPECIFIC EFFECTS; WEIGHTED GRAPH; WEIGHTING FUNCTIONS;

ALGORITHMS; COMPUTER SCIENCE; DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION; MEDICAL COMPUTING; THREE DIMENSIONAL;

SET THEORY;

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

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

EID: 79551685420     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_19     Document Type: Conference Paper

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