Methods for Clustered Microcalcifications Detection in Digital Mammograms

Citation

Wan Mimi Diyana Wan Zaki, (2005) Methods for Clustered Microcalcifications Detection in Digital Mammograms. Masters thesis, Multimedia University.

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Abstract

This theis presents the comparison of three automated methods for an early detection of breast cancer that used to detect clusters of microcalcifications (MCCs), which are associated with a high probability of malignancy. The proposed methods are based on several image processing concepts, such as morphological approach, fractal analysis, adaptive wavelet transform, local maxima detection and high -order statistics (HOS) tests.

Item Type: Thesis (Masters)
Subjects: R Medicine > RG Gynecology and obstetrics > RG491 Diseases of the Breast
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Mr Shaharom Nizam Mohamed
Date Deposited: 16 Dec 2009 08:27
Last Modified: 23 Feb 2010 08:34
URII: http://shdl.mmu.edu.my/id/eprint/139

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