Methods For Clustered Microcalcifications Detection In Digital Mammograms

Citation

Wan Zaki, Wan Mimi Diyana (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: Ms Rosnani Abd Wahab
Date Deposited: 02 Jul 2010 09:11
Last Modified: 02 Jul 2010 09:11
URII: http://shdl.mmu.edu.my/id/eprint/781

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