Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. After decomposing the mammogram images in curvelet basis, a special set of the biggest coefficients is extracted as feature vector. The Euclidean distance is then used to construct a supervised...
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| Format: | Article |
| Language: | English |
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Elsevier
2010
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| Online Access: | http://scholars.utp.edu.my/id/eprint/2724/ http://scholars.utp.edu.my/id/eprint/2724/1/paper.pdf |
| _version_ | 1848659294174576640 |
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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 an approach for breast cancer diagnosis in digital mammogram using curvelet transform. After decomposing the mammogram images in curvelet basis, a special set of the biggest coefficients is extracted as feature vector. The Euclidean distance is then used to construct a supervised classifier. The experimental results gave a 98.59% classification accuracy rate, which indicate that curvelet transformation is a promising tool for analysis and classification of digital mammograms. © 2009 Elsevier Ltd. All rights reserved.
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| first_indexed | 2025-11-13T07:28:08Z |
| format | Article |
| id | oai:scholars.utp.edu.my:2724 |
| 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:27242017-01-19T08:24:41Z http://scholars.utp.edu.my/id/eprint/2724/ Breast cancer diagnosis in digital mammogram using multiscale curvelet transform Eltoukhy , M.M. Faye , Ibrahima Brahim Belhaouari, Samir TK Electrical engineering. Electronics Nuclear engineering This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. After decomposing the mammogram images in curvelet basis, a special set of the biggest coefficients is extracted as feature vector. The Euclidean distance is then used to construct a supervised classifier. The experimental results gave a 98.59% classification accuracy rate, which indicate that curvelet transformation is a promising tool for analysis and classification of digital mammograms. © 2009 Elsevier Ltd. All rights reserved. Elsevier 2010 Article PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2724/1/paper.pdf Eltoukhy , M.M. and Faye , Ibrahima and Brahim Belhaouari, Samir (2010) Breast cancer diagnosis in digital mammogram using multiscale curvelet transform. Computerized Medical Imaging and Graphics, 34. pp. 269-276. ISSN 8956111 http://www.scopus.com/inward/record.url?eid=2-s2.0-71049184061&partnerID=40&md5=bdb54f98158d60893f6bae0e6847baa1 10.1016/j.compmedimag.2009.11.002 10.1016/j.compmedimag.2009.11.002 10.1016/j.compmedimag.2009.11.002 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Eltoukhy , M.M. Faye , Ibrahima Brahim Belhaouari, Samir Breast cancer diagnosis in digital mammogram using multiscale curvelet transform |
| title | Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
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| title_full | Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
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| title_fullStr | Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
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| title_full_unstemmed | Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
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| title_short | Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
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| title_sort | breast cancer diagnosis in digital mammogram using multiscale curvelet transform |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/2724/ http://scholars.utp.edu.my/id/eprint/2724/ http://scholars.utp.edu.my/id/eprint/2724/ http://scholars.utp.edu.my/id/eprint/2724/1/paper.pdf |