Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform
This paper proposes a method for breast cancer diagnosis in digital mammogram. The article focuses on using texture analysis based on curvelet transform for the classification of tissues. The most discriminative texture features of regions of interest are extracted and then, a classifier is buil...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/939/ http://scholars.utp.edu.my/id/eprint/939/1/Curvelet_texture_Statistics_UTP.pdf |
| _version_ | 1848659060283408384 |
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| author | Brahim Belhaouari, samir Ibrahima , faye mohamed, eltoukhy |
| author_facet | Brahim Belhaouari, samir Ibrahima , faye mohamed, eltoukhy |
| author_sort | Brahim Belhaouari, samir |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper proposes a method for breast cancer
diagnosis in digital mammogram. The article focuses on using
texture analysis based on curvelet transform for the classification
of tissues. The most discriminative texture features of regions of
interest are extracted and then, a classifier is built. The approach
consists of three steps, detecting the abnormality, classify this
abnormality into one of the abnormality types and lastly
distinguish between benign and malignant tumors. |
| first_indexed | 2025-11-13T07:24:25Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:939 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:24:25Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:9392017-01-19T08:24:36Z http://scholars.utp.edu.my/id/eprint/939/ Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform Brahim Belhaouari, samir Ibrahima , faye mohamed, eltoukhy TK Electrical engineering. Electronics Nuclear engineering This paper proposes a method for breast cancer diagnosis in digital mammogram. The article focuses on using texture analysis based on curvelet transform for the classification of tissues. The most discriminative texture features of regions of interest are extracted and then, a classifier is built. The approach consists of three steps, detecting the abnormality, classify this abnormality into one of the abnormality types and lastly distinguish between benign and malignant tumors. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/939/1/Curvelet_texture_Statistics_UTP.pdf Brahim Belhaouari, samir and Ibrahima , faye and mohamed, eltoukhy (2010) Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform. In: ICIAS 2010. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Brahim Belhaouari, samir Ibrahima , faye mohamed, eltoukhy Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform |
| title | Breast Cancer Diagnosis Based on Texture
Feature Extraction Using Curvelet Transform |
| title_full | Breast Cancer Diagnosis Based on Texture
Feature Extraction Using Curvelet Transform |
| title_fullStr | Breast Cancer Diagnosis Based on Texture
Feature Extraction Using Curvelet Transform |
| title_full_unstemmed | Breast Cancer Diagnosis Based on Texture
Feature Extraction Using Curvelet Transform |
| title_short | Breast Cancer Diagnosis Based on Texture
Feature Extraction Using Curvelet Transform |
| title_sort | breast cancer diagnosis based on texture
feature extraction using curvelet transform |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/939/ http://scholars.utp.edu.my/id/eprint/939/1/Curvelet_texture_Statistics_UTP.pdf |