Using curvelet transform to detect breast cancer in digital mammogram
This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherw...
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2009
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my.utp.eprints.17292017-01-19T08:25:40Z Using curvelet transform to detect breast cancer in digital mammogram Faye , I. Eltoukhy , M.M. B.Belhaouari, S. TK Electrical engineering. Electronics Nuclear engineering This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherwise smooth objects having discontinuities along smooth curves. Since medical images have several objects and curved shaped, it is expected that the curvelet transform would be better for classification of cancer classes in digital mammogram. To construct and evaluate a supervised classifier for this problem, by transforming the data of the images in curvelet basis and then using a special set of coefficients as the features tailored towards separating each of those classes. The experimental results indicate that using curvelet transform significantly improves the classification of cancer classes. ©2009 IEEE. 2009 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/1729/1/ http://www.scopus.com/inward/record.url?eid=2-s2.0-70349923223&partnerID=40&md5=3143f14ba8482f553387522c50bda922 Faye , I. and Eltoukhy , M.M. and B.Belhaouari, S. (2009) Using curvelet transform to detect breast cancer in digital mammogram. In: 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009, 6 March 2009 through 8 March 2009, Kuala Lumpur. http://eprints.utp.edu.my/1729/ |
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TK Electrical engineering. Electronics Nuclear engineering Faye , I. Eltoukhy , M.M. B.Belhaouari, S. Using curvelet transform to detect breast cancer in digital mammogram |
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This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherwise smooth objects having discontinuities along smooth curves. Since medical images have several objects and curved shaped, it is expected that the curvelet transform would be better for classification of cancer classes in digital mammogram. To construct and evaluate a supervised classifier for this problem, by transforming the data of the images in curvelet basis and then using a special set of coefficients as the features tailored towards separating each of those classes. The experimental results indicate that using curvelet transform significantly improves the classification of cancer classes. ©2009 IEEE.
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| format |
Conference or Workshop Item |
| author |
Faye , I. Eltoukhy , M.M. B.Belhaouari, S. |
| author_facet |
Faye , I. Eltoukhy , M.M. B.Belhaouari, S. |
| author_sort |
Faye , I. |
| title |
Using curvelet transform to detect breast cancer in digital mammogram
|
| title_short |
Using curvelet transform to detect breast cancer in digital mammogram
|
| title_full |
Using curvelet transform to detect breast cancer in digital mammogram
|
| title_fullStr |
Using curvelet transform to detect breast cancer in digital mammogram
|
| title_full_unstemmed |
Using curvelet transform to detect breast cancer in digital mammogram
|
| title_sort |
using curvelet transform to detect breast cancer in digital mammogram |
| publishDate |
2009 |
| url |
http://eprints.utp.edu.my/1729/1/ http://www.scopus.com/inward/record.url?eid=2-s2.0-70349923223&partnerID=40&md5=3143f14ba8482f553387522c50bda922 http://eprints.utp.edu.my/1729/ |
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1738655149774077952 |
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13.211869 |