A texton-based approach for the classification of lung parenchyma in CT images

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 595-602

  Gangeh, Mehrdad J ^a   Sørensen, Lauge ^b   Shaker, Saher B ^c   Kamel, Mohamed S ^a   De Bruijne, Marleen ^b,d   Loog, Marco ^e  

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^d ERASMUS MEDICAL CENTER   (Netherlands)

^e DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SYSTEM; COMPUTED TOMOGRAPHY; CT IMAGE; FILTER RESPONSE; GAUSSIAN DERIVATIVES; LOCAL BINARY PATTERNS; NORMAL TISSUE; PIXEL REPRESENTATION; RADIAL BASIS FUNCTIONS; REGIONS OF INTEREST;

BIOLOGICAL ORGANS; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; RADIAL BASIS FUNCTION NETWORKS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EMPHYSEMA; HUMAN; IMAGE QUALITY; LUNG; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; THREE DIMENSIONAL IMAGING;

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

EID: 83255173443     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_74     Document Type: Conference Paper

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