Paper Info
Title
A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram
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.
Year
DOI
Venue
2010
10.1016/j.compbiomed.2010.02.002
Comp. in Bio. and Med.
Keywords
DocType
Volume
Wavelet,Curvelet,Breast cancer,Digital mammogram,Multiresolution,Feature extraction
Journal
40
Issue
ISSN
Citations 
4
0010-4825
33
PageRank 
References 
Authors
1.28
14
3
Name
Order
Citations
PageRank
Mohamed Meselhy Eltoukhy1924.44
ibrahima faye217919.82
Brahim Belhaouari Samir3935.93