Computerized lung nodule detection using 3D Feature extraction and learning based algorithms

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dc.contributor.authorÖzekes, Serhat
dc.contributor.authorOsman, Onur
dc.date.accessioned2020-11-21T15:53:21Z
dc.date.available2020-11-21T15:53:21Z
dc.date.issued2010en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.descriptionPubMed ID: 20433057en_US
dc.description.abstractIn this paper, a Computer Aided Detection (CAD) system based on three-dimensional (3D) feature extraction is introduced to detect lung nodules. First, eight directional search was applied in order to extract regions of interests (ROIs). Then, 3D feature extraction was performed which includes 3D connected component labeling, straightness calculation, thickness calculation, determining the middle slice, vertical and horizontal widths calculation, regularity calculation, and calculation of vertical and horizontal black pixel ratios. To make a decision for each ROI, feed forward neural networks (NN), support vector machines (SVM), naïve Bayes (NB) and logistic regression (LR) methods were used. These methods were trained and tested via k-fold cross validation, and results were compared. To test the performance of the proposed system, 11 cases, which were taken from Lung Image Database Consortium (LIDC) dataset, were used. ROC curves were given for all methods and 100% detection sensitivity was reached except naïve Bayes. © Springer Science + Business Media, LLC 2008.en_US
dc.identifier.doi10.1007/s10916-008-9230-0en_US
dc.identifier.endpage194en_US
dc.identifier.issn0148-5598
dc.identifier.issue2en_US
dc.identifier.pmid20433057en_US
dc.identifier.scopus2-s2.0-77950459958en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage185en_US
dc.identifier.urihttps://doi.org/10.1007/s10916-008-9230-0
dc.identifier.urihttps://hdl.handle.net/11467/3557
dc.identifier.volume34en_US
dc.identifier.wosWOS:000275552800010en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Medical Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D feature extractionen_US
dc.subjectFeed-forward neural networksen_US
dc.subjectLogistic regressionen_US
dc.subjectNaïve Bayesen_US
dc.subjectSupport vector machinesen_US
dc.titleComputerized lung nodule detection using 3D Feature extraction and learning based algorithmsen_US
dc.typeArticleen_US

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