Optimal graph based segmentation using flow lines with application to airway wall segmentation

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

Volumn 6801 LNCS, Issue , 2011, Pages 49-60

  Petersen, Jens ^a   Nielsen, Mads ^a   Lo, Pechin ^a   Saghir, Zaigham ^b   Dirksen, Asger ^b   De Bruijne, Marleen ^a,c  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

airway walls; flow lines; graph; Segmentation

Indexed keywords

AIRWAY WALLS; COMPLEX SHAPES; COMPUTED TOMOGRAPHY; CONVENTIONAL COLUMNS; CROSS SECTIONAL IMAGE; GRAPH; GRAPH-BASED METHODS; HUMAN AIRWAY; LUNG CANCER SCREENING; LUNG FUNCTION; MANUAL ANNOTATION; MULTI-SURFACE; OPTIMAL GRAPHS;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DATA PROCESSING; MEDICAL IMAGING; MEDICAL PROBLEMS; OPTIMIZATION; TOMOGRAPHY;

IMAGE SEGMENTATION;

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

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

EID: 80052304539     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_5     Document Type: Conference Paper

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