Automatic Grading System for Diagnosis of Breast Cancer Exploiting Co-occurrence Shearlet Transform and Histogram Features

dc.contributor.author	Budak, U.
dc.contributor.author	Guzel, A. B.
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2020
dc.identifier.issn	1959-0318
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9974
dc.identifier.uri	https://doi.org/10.1016/j.irbm.2020.02.001
dc.description.abstract	Objectives: 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.iso	English
dc.publisher	Elsevıer Scıence Inc
dc.source	Irbm
dc.title	Automatic Grading System for Diagnosis of Breast Cancer Exploiting Co-occurrence Shearlet Transform and Histogram Features
dc.type	Article
dc.identifier.issue	2
dc.identifier.startpage	106
dc.identifier.endpage	114
dc.identifier.doi	10.1016/j.irbm.2020.02.001
dc.identifier.wos	WOS:000527943400005
dc.identifier.volume	41

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