Classification of mammogram images using shearlet transform and kernel principal component analysis
In this paper, we have automatically classified the breast tumor in mammogram images to benign and malignant classes using shearlet transform. First the region of interest (ROI) of the mammogram image is subjected to shearlet transform and various texture features are extracted from different levels...
| Main Authors: | Ibrahim, A.M., Baharudin, B. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30483 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010432805&doi=10.1109%2fICCOINS.2016.7783238&partnerID=40&md5=389f7b764431248aa738a8255f73e92a http://eprints.utp.edu.my/30483/ |
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