A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram
This paper presents a comparative study between wavelet and curvelet transform for detection of breast cancer in digital mammogram. Using multi-resolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands. By extracting a set...
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| Online Access: | http://eprints.utp.edu.my/935/ http://eprints.utp.edu.my/935/1/BreastCancerDiagnosisMammograms.zip |
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utp-9352012-12-13T08:53:44Z A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram Brahim Belhaouari, samir Ibrahima, Faye Mohamed Meselhy, Eltoukhy TK Electrical engineering. Electronics Nuclear engineering This paper presents a comparative study between wavelet and curvelet transform for detection of breast cancer in digital mammogram. Using multi-resolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands. By extracting a set of coefficients from each decomposition level, a supervised classifier system based on Euclidean distance is constructed. The experimental results show that, using curvelet transform is much better than using wavelet transform for digital mammogram classification. Elsivier Article PeerReviewed application/zip http://eprints.utp.edu.my/935/1/BreastCancerDiagnosisMammograms.zip Brahim Belhaouari, samir and Ibrahima, Faye and Mohamed Meselhy, Eltoukhy A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram. ComputersinBiologyandMedicine . http://eprints.utp.edu.my/935/ |
| institution |
Universiti Teknologi Petronas Universiti Teknologi Petronas |
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Digital Repository |
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Local University |
| building |
UTP Repository |
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Online Access |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Brahim Belhaouari, samir Ibrahima, Faye Mohamed Meselhy, Eltoukhy A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram |
| description |
This paper presents a comparative study between wavelet and curvelet transform for detection of breast cancer in digital mammogram. Using multi-resolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands. By extracting a set of coefficients from each decomposition level, a supervised classifier system based on Euclidean distance is constructed. The experimental results show that, using curvelet transform is much better than using wavelet transform for digital mammogram classification. |
| format |
Article |
| author |
Brahim Belhaouari, samir Ibrahima, Faye Mohamed Meselhy, Eltoukhy |
| author_facet |
Brahim Belhaouari, samir Ibrahima, Faye Mohamed Meselhy, Eltoukhy |
| author_sort |
Brahim Belhaouari, samir |
| title |
A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram |
| title_short |
A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram |
| title_full |
A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram |
| title_fullStr |
A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram |
| title_full_unstemmed |
A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram |
| title_sort |
comparison of wavelet and curvelet for breast cancer detection in digital mammogram |
| publisher |
Elsivier |
| url |
http://eprints.utp.edu.my/935/ http://eprints.utp.edu.my/935/1/BreastCancerDiagnosisMammograms.zip |
| first_indexed |
2018-09-08T10:04:35Z |
| last_indexed |
2018-09-08T10:04:35Z |
| _version_ |
1611033293866663936 |