eprintid: 683
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/83
datestamp: 2023-11-09 15:48:49
lastmod: 2023-11-09 15:48:49
status_changed: 2023-11-09 15:22:57
type: conference_item
metadata_visibility: show
creators_name: Eltoukhy, M.M.M.
creators_name: Faye, I.
creators_name: Samir, B.B.
title: Using curvelet transform to detect breast cancer in digital mammogram
ispublished: pub
keywords: Breast Cancer; Breast cancer diagnosis; Curvelet transforms; Curvelets; Digital mammograms; Medical images; Near-optimal representations; Smooth curves; Supervised classifiers, Mammography; Signal processing; X ray screens, Object recognition
note: cited By 19; Conference of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009 ; Conference Date: 6 March 2009 Through 8 March 2009; Conference Code:77410
abstract: This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherwise smooth objects having discontinuities along smooth curves. Since medical images have several objects and curved shaped, it is expected that the curvelet transform would be better for classification of cancer classes in digital mammogram. To construct and evaluate a supervised classifier for this problem, by transforming the data of the images in curvelet basis and then using a special set of coefficients as the features tailored towards separating each of those classes. The experimental results indicate that using curvelet transform significantly improves the classification of cancer classes. ©2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349923223&doi=10.1109%2fCSPA.2009.5069247&partnerID=40&md5=5bbdfbf58e617610d752aad04a41e589
id_number: 10.1109/CSPA.2009.5069247
full_text_status: none
publication: Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
place_of_pub: Kuala Lumpur
pagerange: 340-345
refereed: TRUE
isbn: 9781424441501
citation:   Eltoukhy, M.M.M. and Faye, I. and Samir, B.B.  (2009) Using curvelet transform to detect breast cancer in digital mammogram.  In: UNSPECIFIED.