relation: https://khub.utp.edu.my/scholars/1247/ title: Breast cancer diagnosis in digital mammogram using multiscale curvelet transform creator: Eltoukhy, M.M. creator: Faye, I. creator: Samir, B.B. 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. date: 2010 type: Article type: PeerReviewed identifier: Eltoukhy, M.M. and Faye, I. and Samir, B.B. (2010) Breast cancer diagnosis in digital mammogram using multiscale curvelet transform. Computerized Medical Imaging and Graphics, 34 (4). pp. 269-276. ISSN 08956111 relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952237386&doi=10.1016%2fj.compmedimag.2009.11.002&partnerID=40&md5=a52910c5505a38495d14c0838f0c5aa6 relation: 10.1016/j.compmedimag.2009.11.002 identifier: 10.1016/j.compmedimag.2009.11.002