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