A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.

This paper presents a comparative study between wavelet and curvelet transform for breast cancer diagnosis in digital mammogram.Using multiresolution analysis,mammogram images are decomposed into different resolution levels,which are sensitive to different frequency bands. A set of the biggest coef...

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Main Authors: Eltoukhy, M.M., Faye, Ibrahima, Brahim Belhaouari, Samir
Format: Citation Index Journal
Language:English
Published: Elsevier 2010
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2725/
http://scholars.utp.edu.my/id/eprint/2725/1/eprints.pdf
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author Eltoukhy, M.M.
Faye, Ibrahima
Brahim Belhaouari, Samir
author_facet Eltoukhy, M.M.
Faye, Ibrahima
Brahim Belhaouari, Samir
author_sort Eltoukhy, M.M.
building UTP Institutional Repository
collection Online Access
description This paper presents a comparative study between wavelet and curvelet transform for breast cancer diagnosis in digital mammogram.Using multiresolution analysis,mammogram images are decomposed into different resolution levels,which are sensitive to different frequency bands. A set of the biggest coefficients from each decomposition level is extracted. Then a supervised classifier system based on Euclidian distance is constructed. The performance of the classifier is evaluated using a 2x5-fold cross validation followed by a statistical analysis. The experimental results suggest that curvelet transform outperforms wavelet transform and the difference is statistically significant.
first_indexed 2025-11-13T07:28:08Z
format Citation Index Journal
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institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:28:08Z
publishDate 2010
publisher Elsevier
recordtype eprints
repository_type Digital Repository
spelling oai:scholars.utp.edu.my:27252017-01-19T08:24:41Z http://scholars.utp.edu.my/id/eprint/2725/ A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram. Eltoukhy, M.M. Faye, Ibrahima Brahim Belhaouari, Samir QA75 Electronic computers. Computer science This paper presents a comparative study between wavelet and curvelet transform for breast cancer diagnosis in digital mammogram.Using multiresolution analysis,mammogram images are decomposed into different resolution levels,which are sensitive to different frequency bands. A set of the biggest coefficients from each decomposition level is extracted. Then a supervised classifier system based on Euclidian distance is constructed. The performance of the classifier is evaluated using a 2x5-fold cross validation followed by a statistical analysis. The experimental results suggest that curvelet transform outperforms wavelet transform and the difference is statistically significant. Elsevier 2010 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2725/1/eprints.pdf Eltoukhy, M.M. and Faye, Ibrahima and Brahim Belhaouari, Samir (2010) A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram. [Citation Index Journal]
spellingShingle QA75 Electronic computers. Computer science
Eltoukhy, M.M.
Faye, Ibrahima
Brahim Belhaouari, Samir
A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
title A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
title_full A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
title_fullStr A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
title_full_unstemmed A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
title_short A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
title_sort comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/2725/
http://scholars.utp.edu.my/id/eprint/2725/1/eprints.pdf