Logo

A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.

Eltoukhy, M.M. and Faye, Ibrahima and Brahim Belhaouari, Samir (2010) A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram. [Citation Index Journal]

This is the latest version of this item.

[img] PDF
Restricted to Registered users only

11Kb

Abstract

This paper presents a comparative study between wavelet and curvelet transform for breast cancer diagnosis in digital mammogram.Using multiresolution analysis,mammogram images are decomposed into different resolution levels,which are sensitive to different frequency bands. A set of the biggest coefficients from each decomposition level is extracted. Then a supervised classifier system based on Euclidian distance is constructed. The performance of the classifier is evaluated using a 2x5-fold cross validation followed by a statistical analysis. The experimental results suggest that curvelet transform outperforms wavelet transform and the difference is statistically significant.

Item Type:Citation Index Journal
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:2725
Deposited By: Dr Ibrahima Faye
Deposited On:21 Sep 2010 00:38
Last Modified:19 Jan 2017 08:24

Available Versions of this Item

Repository Staff Only: item control page

Document Downloads

More statistics for this item...