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Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography

contributor authorJian-Wu Xu
contributor authorSuzuki, Kenji
date accessioned2020-03-12T18:26:19Z
date available2020-03-12T18:26:19Z
date issued2014
identifier issn2168-2194
identifier other6578059.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/958518?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleMax-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography
typeJournal Paper
contenttypeMetadata Only
identifier padid7990977
subject keywordsbiological tissues
subject keywordscomputer aided analysis
subject keywordscomputerised tomography
subject keywordsfeature extraction
subject keywordsfeature selection
subject keywordsimage classification
subject keywordsimage segmentation
subject keywordsimage texture
subject keywordsmedical image processing
subject keywordssensitivity analysis
subject keywordsstatistical analysis
subject keywordssupport vector machines
subject keywordsAUC values
subject keywordsCADe
subject keywordsCTC
subject keywordsCTcolonography
subject keywordsSFFS procedure
subject keywordsSVM classifier
subject keywordsWilks'
subject keywordslambda
subject keywordsarea under the receiver operating characteristic curve
subject keywordsby-polyp sensitivity
subject keywordsclassification performance
subject keywordscolonic-polyp database
subject keywordscomputational cost
identifier doi10.1109/JBHI.2013.2278023
journal titleBiomedical and Health Informatics, IEEE Journal of
journal volume18
journal issue2
filesize602063
citations0


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