Classification of Mammogram Images by Dictionary Learning

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dc.contributor.authorBarstugan, Mucahid
dc.contributor.authorCeylan, Rahime
dc.date.accessioned2020-03-26T19:34:20Z
dc.date.available2020-03-26T19:34:20Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractDictionary Learning is a method used in signal and image processing. In this study, classification of mammogram images were realized by using dictionary learning and sparse representation algorithms. The attributes of the images were detected with Wavelet Transform and PCA, and the new dataset which was created by the obtained attributes were classified by Dictionary Learning. Moreover, the classification performance of the Dictionary Learning algorithm was evaluated by classifying the new dataset with SVM, Rotation Forest and AdaBoost algorithms,. The best classification accuracy was obtained by PCA-Dictionary Learning algorithm as 98.89%.en_US
dc.description.sponsorshipIEEE Turkey Sect, Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34880
dc.identifier.wosWOS:000426868700123en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectdictionary learningen_US
dc.subjectsparse representationen_US
dc.subjectclassificationen_US
dc.subjectprincipal component analysisen_US
dc.subjectwavelet transformen_US
dc.titleClassification of Mammogram Images by Dictionary Learningen_US
dc.typeConference Objecten_US

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