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dc.contributor.authorMwadulo, Mary Walowe
dc.contributor.authorAngulu, Raphael
dc.contributor.authorMutua, Stephen Makau
dc.date.accessioned2021-10-08T11:21:57Z
dc.date.available2021-10-08T11:21:57Z
dc.date.issued2020
dc.identifier.citationMwadulo, M. W., Angulu, R., & Mutua, S. M. (2020). Breast Cancer Detection via Mammographic Images: A Survey. Breast cancer, 5(6), 7.en_US
dc.identifier.issn2456-3307
dc.identifier.urihttp://repository.must.ac.ke/handle/123456789/410
dc.description.abstractBreast cancer is a top killer disease for women globally. The long term survival rate of women can be improved through early and effective screening of breast cancer cells. Currently, a mammogram is the recommended tool for breast cancer screening since it can identify breast cancer cells several years before physical signs appear and it is cost effective. This paper analyzes mammographic detection of breast cancer by providing an explanation on development and classification of Breast Cancer, Image representation models for breast tumor, mammography technologies, a discussion on various mammographic signs of breast cancer, breast cancer feature extraction techniques, popular breast cancer classification techniques, comparative analysis of existing mammogram breast cancer databases, and a review of mammographic breast cancer detection studies are presented. Finally, a highlight on future work is given.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Scientific Research in Computer Science, Engineering and Information Technologyen_US
dc.subjectMammographyen_US
dc.subjectFeature extractionen_US
dc.subjectClassificationen_US
dc.subjectDatabaseen_US
dc.subjectBreast Canceren_US
dc.titleBreast Cancer Detection via Mammographic Images: A Surveyen_US
dc.typeArticleen_US


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