Methods for Clustered Microcalcifications Detection in Digital Mammograms

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 m...

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Main Author: Wan Mimi Diyana Wan Zaki
Format: Thesis
Published: 2005
Subjects:
Online Access:http://shdl.mmu.edu.my/139/
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author Wan Mimi Diyana Wan Zaki,
author_facet Wan Mimi Diyana Wan Zaki,
author_sort Wan Mimi Diyana Wan Zaki,
building MMU Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T17:56:35Z
format Thesis
id mmu-139
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T17:56:35Z
publishDate 2005
recordtype eprints
repository_type Digital Repository
spelling mmu-1392010-02-23T08:34:07Z http://shdl.mmu.edu.my/139/ Methods for Clustered Microcalcifications Detection in Digital Mammograms Wan Mimi Diyana Wan Zaki, RG491 Diseases of the Breast 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. 2005 Thesis NonPeerReviewed Wan Mimi Diyana Wan Zaki, (2005) Methods for Clustered Microcalcifications Detection in Digital Mammograms. Masters thesis, Multimedia University. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php
spellingShingle RG491 Diseases of the Breast
Wan Mimi Diyana Wan Zaki,
Methods for Clustered Microcalcifications Detection in Digital Mammograms
title Methods for Clustered Microcalcifications Detection in Digital Mammograms
title_full Methods for Clustered Microcalcifications Detection in Digital Mammograms
title_fullStr Methods for Clustered Microcalcifications Detection in Digital Mammograms
title_full_unstemmed Methods for Clustered Microcalcifications Detection in Digital Mammograms
title_short Methods for Clustered Microcalcifications Detection in Digital Mammograms
title_sort methods for clustered microcalcifications detection in digital mammograms
topic RG491 Diseases of the Breast
url http://shdl.mmu.edu.my/139/
http://shdl.mmu.edu.my/139/