A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram.
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 coef...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Citation Index Journal |
| Published: |
Elsevier
2010
|
| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/2725/1/eprints.pdf http://eprints.utp.edu.my/2725/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|