eprintid: 1247
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/12/47
datestamp: 2023-11-09 15:49:24
lastmod: 2023-11-09 15:49:24
status_changed: 2023-11-09 15:39:18
type: article
metadata_visibility: show
creators_name: Eltoukhy, M.M.
creators_name: Faye, I.
creators_name: Samir, B.B.
title: Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
ispublished: pub
keywords: Breast cancer diagnosis; Curvelet transforms; Digital mammogram; Digital mammograms; Multi-resolutions, Face recognition; Mammography; X ray screens, Feature extraction, article; breast cancer; cancer classification; cancer diagnosis; classifier; diagnostic accuracy; diagnostic procedure; digital mammography; human; image analysis; image processing; image reconstruction; priority journal, Algorithms; Breast Neoplasms; Female; Humans; Mammography; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity
note: cited By 110
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952237386&doi=10.1016%2fj.compmedimag.2009.11.002&partnerID=40&md5=a52910c5505a38495d14c0838f0c5aa6
id_number: 10.1016/j.compmedimag.2009.11.002
full_text_status: none
publication: Computerized Medical Imaging and Graphics
volume: 34
number: 4
pagerange: 269-276
refereed: TRUE
issn: 08956111
citation:   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