TY - GEN
T1 - Using curvelet transform to detect breast cancer in digital mammogram
AU - Eltoukhy, Mohamed Meselhy M.
AU - Faye, Ibrahima
AU - Samir, Brahim Belhaouari
PY - 2009
Y1 - 2009
N2 - This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherwise smooth objects having discontinuities along smooth curves. Since medical images have several objects and curved shaped, it is expected that the curvelet transform would be better for classification of cancer classes in digital mammogram. To construct and evaluate a supervised classifier for this problem, by transforming the data of the images in curvelet basis and then using a special set of coefficients as the features tailored towards separating each of those classes. The experimental results indicate that using curvelet transform significantly improves the classification of cancer classes.
AB - This paper presents an approach for breast cancer diagnosis in digital mammogram using curvelet transform. The motivation of this approach is the desire of using the advantages of curvelet transform into mammogram analysis. Curvelet provide stable, efficient and near-optimal representation of otherwise smooth objects having discontinuities along smooth curves. Since medical images have several objects and curved shaped, it is expected that the curvelet transform would be better for classification of cancer classes in digital mammogram. To construct and evaluate a supervised classifier for this problem, by transforming the data of the images in curvelet basis and then using a special set of coefficients as the features tailored towards separating each of those classes. The experimental results indicate that using curvelet transform significantly improves the classification of cancer classes.
UR - http://www.scopus.com/inward/record.url?scp=70349923223&partnerID=8YFLogxK
U2 - 10.1109/CSPA.2009.5069247
DO - 10.1109/CSPA.2009.5069247
M3 - Conference contribution
AN - SCOPUS:70349923223
SN - 9781424441501
T3 - Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
SP - 340
EP - 345
BT - Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
T2 - 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
Y2 - 6 March 2009 through 8 March 2009
ER -