Multiple classifier systems in texton-based approach for the classification of CT images of lung

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

Volumn 6533 LNCS, Issue , 2011, Pages 153-163

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

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^d ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BASE CLASSIFIERS; COMPUTED TOMOGRAPHY; CT IMAGE; K-MEANS; K-VALUES; LOCAL BINARY PATTERNS; MULTIPLE CLASSIFIER SYSTEMS; NORMAL TISSUE; PIXEL REPRESENTATION; PRODUCT RULE; REGIONS OF INTEREST; SINGLE DECISION; TEXTURE CLASSIFICATION; TWO PARAMETER; COMPUTED TOMOGRAPHY IMAGES;

BIOLOGICAL ORGANS; CLASSIFIERS; COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; SUPPORT VECTOR MACHINES; IMAGE CLASSIFICATION; MEDICAL IMAGING;

MEDICAL IMAGING; COMPUTERIZED TOMOGRAPHY;

EID: 79951598366     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-18421-5_15     Document Type: Conference Paper

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