Classification of mammogram images by dictionary learning [Sözlük ö?renme ile mamogram görüntülerinin siniflandirilmasi]

dc.contributor.authorBarstu?an M.
dc.contributor.authorCeylan R.
dc.date.accessioned2020-03-26T19:43:33Z
dc.date.available2020-03-26T19:43:33Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012en_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%. © 2017 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2017.8090283en_US
dc.identifier.isbn9.78154E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1109/IDAP.2017.8090283
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35702
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIDAP 2017 - International Artificial Intelligence and Data Processing Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectClassificationen_US
dc.subjectDictionary learningen_US
dc.subjectPrincipal component analysisen_US
dc.subjectSparse representationen_US
dc.subjectWavelet transformen_US
dc.titleClassification of mammogram images by dictionary learning [Sözlük ö?renme ile mamogram görüntülerinin siniflandirilmasi]en_US
dc.typeConference Objecten_US

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