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dc.contributor.authorBudak, U.
dc.contributor.authorGuzel, A. B.
dc.date.accessioned16/12/21 12:06
dc.date.available16/12/21 12:06
dc.date.issued2020
dc.identifier.issn1959-0318
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9974
dc.identifier.urihttps://doi.org/10.1016/j.irbm.2020.02.001
dc.description.abstractObjectives: Breast cancer (BC) is one of the most commonly reported health issues worldwide, especially in females. Early detection and diagnosis of BC can greatly reduce mortality rates. Samples obtained with different imaging methods such as mammography
dc.language.isoEnglish
dc.publisherElsevıer Scıence Inc
dc.sourceIrbm
dc.titleAutomatic Grading System for Diagnosis of Breast Cancer Exploiting Co-occurrence Shearlet Transform and Histogram Features
dc.typeArticle
dc.identifier.issue2
dc.identifier.startpage106
dc.identifier.endpage114
dc.identifier.doi10.1016/j.irbm.2020.02.001
dc.identifier.wosWOS:000527943400005
dc.identifier.volume41


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