Classification of mammogram images using shearlet transform and kernel principal component analysis

• المؤلفون الرئيسيون: Ibrahim, A.M., Baharudin, B.
• التنسيق: Conference or Workshop Item
• منشور في: Institute of Electrical and Electronics Engineers Inc. 2016
• الوصول للمادة أونلاين: 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/
• المؤسسة: Universiti Teknologi Petronas

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...