Enhancement and Segmentation of Mammograms for Further Analysis

dc.contributor.authorKayode, Aderonke Anthonia
dc.date.accessioned2022-03-08T11:19:27Z
dc.date.available2022-03-08T11:19:27Z
dc.date.issued2017-06
dc.descriptionBiomedical image Processingen_US
dc.description.abstractBreast cancer is the most prevalent cancer and the leading terminal disease among women worldwide. At the present time, there are no effective ways to prevent breast cancer, because its cause is not yet fully known, therefore, early detection, which can be achieved by mammography, has become the only effective way to diagnose and manage breast cancer. To diagnose breast cancer, Radiologists need to examine mammograms to locate abnormalities like masses and calcifications that indicate breast cancer. These abnormalities are very tiny in size and are obscured by the fibroglandular tissue of the breast region. The fibroglandular region of the breast is being evaluated by the Radiologist in the interpretation of mammographic images. Nevertheless, the interpretation is subjective and varies from one Radiologist to another. In this paper, mammograms acquired from the Department of Radiology, Obafemi Awolowo University Teaching Hospital Complex (OAUTHC), Ile-Ife, Nigeria were enhanced and segmented to improve and make better further analysis of the images by Radiologists.en_US
dc.identifier.citation17. Kayode AA, Odeniyi OA and Efunboade AO (2017). Enhancement and Segmentation of Mammograms for Further Analysis: International Journal of Computer Science and Information Security (IJCSIS). Vol 15 No. 6, pp 417-424.en_US
dc.identifier.urihttp://dspace.run.edu.ng:8080/jspui/handle/123456789/2047
dc.language.isoenen_US
dc.publisherInternational Journal of Computer Science and Information Security (IJCSIS)en_US
dc.subjectEnhancementen_US
dc.subjectSegmentationen_US
dc.subjectRegion of interesten_US
dc.subjectBreast canceren_US
dc.titleEnhancement and Segmentation of Mammograms for Further Analysisen_US
dc.typeArticleen_US
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