TY  - JOUR
Y1  - 2010///
VL  - 40
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77950859535&doi=10.1016%2fj.compbiomed.2010.02.002&partnerID=40&md5=7e4164888f0ac58310de30aa2eab81f1
A1  - Meselhy Eltoukhy, M.
A1  - Faye, I.
A1  - Belhaouari Samir, B.
JF  - Computers in Biology and Medicine
KW  - Breast Cancer; Curvelets; Digital mammogram; Digital mammograms; Multiresolution wavelets
KW  -  Classifiers; Frequency bands; Mammography; Wavelet transforms; X ray screens
KW  -  Feature extraction
KW  -  article; benign tumor; breast cancer; cancer diagnosis; controlled study; decomposition; digital mammography; image analysis; malignant neoplastic disease; priority journal; statistical analysis
KW  -  Algorithms; Breast Neoplasms; Female; Humans; Image Enhancement; Image Interpretation
KW  -  Computer-Assisted; Mammography
KW  -  Euclidia
ID  - scholars1279
IS  - 4
N2  - 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 2�5-fold cross validation followed by a statistical analysis. The experimental results suggest that curvelet transform outperforms wavelet transform and the difference is statistically significant. © 2010 Elsevier Ltd.
SN  - 00104825
EP  - 391
AV  - none
SP  - 384
TI  - A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram
N1  - cited By 120
ER  -