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 | |