An automated mammogram classification system using modified support vector machine

Kayode, A.A. and Akande, N.O and Adegun, Adekanmi and Adebiyi, Marion (2019) An automated mammogram classification system using modified support vector machine. Medical Devices: Evidence and Research. pp. 275-284. ISSN 1179-1470

Text Marion_RonkeKay paper_mammogram-classification_Dove press.pdf - Published Version Download (3MB)

Abstract

Breast cancer remains a serious public health problem that results in the loss of lives among women. However, early detection of its signs increases treatment options and the likelihood of cure. Although mammography has been established to be a proven technique of examining symptoms of cancer in mammograms, the manual observation by radiologists is demanding and often prone to diagnostic errors. Therefore, computer aided diagnosis (CADx) systems could be a viable alternative that could facilitate and ease cancer diagnosis process; hence this study.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Mr Uchechukwu F. Ekpendu
Date Deposited:	05 Jul 2021 09:07
Last Modified:	05 Jul 2021 09:07
URI:	https://eprints.lmu.edu.ng/id/eprint/3201

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