Automated Seed-Based Region Growing Using The Moving K-Means Clustering For The Detection Of Mammographic Microcalcifications.

Ngah, Umi Kalthum and Mat Isa, N A and Mohd Noor, Masriah (2003) Automated Seed-Based Region Growing Using The Moving K-Means Clustering For The Detection Of Mammographic Microcalcifications. In: World Congress On Medical Physics And Biomedical Engineering (WC2003), 24 - 29 August 2003, Sydney, Australia.

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    Abstract

    Mammography is by far the proven method of early detection of breast cancer. However, mammography is not without its problems. It is amongst the most difficult of radiological images to interpret as the images are of low contrast and features indicative of abnormalities are very subtle and minute. In this study, a new method of automated edge detection technique is proposed to detect the abnormalities in a region of interest in a mammogram.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering)
    Depositing User: Mr Erwan Roslan
    Date Deposited: 06 Nov 2009 14:52
    Last Modified: 13 Jul 2013 13:31
    URI: http://eprints.usm.my/id/eprint/14166

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