eprintid: 594
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/94
datestamp: 2023-11-09 15:48:44
lastmod: 2023-11-09 15:48:44
status_changed: 2023-11-09 15:22:47
type: conference_item
metadata_visibility: show
creators_name: Faye, I.
creators_name: Samir, B.B.
creators_name: Eltoukhy, M.M.M.
title: Digital mammograms classification using a wavelet based feature extraction method
ispublished: pub
keywords: Accuracy rate; Breast Cancer; Component; Digital mammograms; Euclidian distance; Malignant tissues; Mammographic image analysis; matrix; Wavelet coefficients; Wavelet-based Feature, Electrical engineering; Image analysis; Mammography; Wavelet analysis; Wavelet transforms; X ray screens, Feature extraction
note: cited By 20; Conference of 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 ; Conference Date: 28 December 2009 Through 30 December 2009; Conference Code:79725
abstract: This paper introduces a new method of feature extraction from Wavelet coefficients for classification of digital mammograms. A matrix is constructed by putting Wavelet coefficients of each image of a building set as a row vector. The method consists then on selecting by threshold, the columns which will maximize the Euclidian distances between the different class representatives. The selected columns are then used as features for classification. The method is tested using a set of images provided by the Mammographic Image Analysis Society (MIAS) to classify between normal and abnormal and then between benign and malignant tissues. For both classifications, a high accuracy rate (98) is achieved. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77950838117&doi=10.1109%2fICCEE.2009.39&partnerID=40&md5=de061181f824b607c4d371ee40404f9e
id_number: 10.1109/ICCEE.2009.39
full_text_status: none
publication: 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009
volume: 2
place_of_pub: Dubai
pagerange: 318-322
refereed: TRUE
isbn: 9780769539256
citation:   Faye, I. and Samir, B.B. and Eltoukhy, M.M.M.  (2009) Digital mammograms classification using a wavelet based feature extraction method.  In: UNSPECIFIED.