Curvelet based feature extraction method for breast cancer diagnosis in digital mammogram

2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010

Volumn , Issue , 2010, Pages

  Eltoukhy, Mohamed Meselhy ^a   Faye, Ibrahima ^a   Samir, Brahim Belhaouari ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

BENIGN AND MALIGNANT TUMORS; BREAST CANCER DIAGNOSIS; CROSS VALIDATION; CURVELET TRANSFORMS; CURVELETS; DIGITAL MAMMOGRAMS; EUCLIDIAN DISTANCE; FEATURE EXTRACTION METHODS; NEAREST NEIGHBOR CLASSIFIER; REGIONS OF INTEREST; TEXTURE ANALYSIS; TEXTURE FEATURES;

DISEASES; FEATURE EXTRACTION; TEXTURES; X RAY SCREENS;

MAMMOGRAPHY;

EID: 79952752841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAS.2010.5716125     Document Type: Conference Paper

References (18)

1. www.searo.who.int/LinkFiles/RD-Speech9Feb2008.pdf
2. http://www.emro.who.int/ncd/cancer-breast.htm [May 2009]
3. H.D. Cheng, X. Cia, X. Chen, L.H. Lou. Computer-aided detection and classification of microcalcification in mammogram: a survey. Pattern Recognition Letters 36, pp.2967-2991. 2003 (Pubitemid 37293407)
4. L. Dettori, L. Semler. A comparison of wavelet, ridgelet and curvelet based texture classification algorithms in computed tomography. Computers in Biology and Medicine 37, pp. 486-498, 2007. (Pubitemid 46150170)
5. S.G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 7, No. 11: pp. 674-93, 1989.
6. R. Mousa, Q. Munib, A. Moussa, Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural, Expert Systems with Applications 28, pp. 713-723, 2005. (Pubitemid 40583849)
7. S. Liu, C.F. Babbs, E.J. Delp, Multiresolution detection of spiculated lesions in digital mammograms, IEEE Transactions on Image Processing 10 (6),pp. 874-884, 2001. (Pubitemid 32498462)
8. E.A. Rashed, I.A. Ismail, S.I. Zaki, Multiresolution mammogram analysis in multilevel decomposition, Pattern Recognition Letters 28, pp. 286-292, 2007. (Pubitemid 44716412)
9. C.B.R. Ferreira, D.L. Borges. "Analyses of mammogram classification using a wavelet transform decomposition". Pattern Recognition Letters 24, 2003, pp. 973-982. (Pubitemid 36053305)
10. E.J. Candes, D.L. Donoho, Curvelets, multiresolution representation, and scaling laws, Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A. F. Laine, M. A. Unser eds., Proc. SPIE 4119, 2000.
11. K.P. Soman, K.I. Ramachandran ,"Insight into Wavelets: From Theory to Practice", Second Edition, Prentice-Hall, 2006.
12. F. E. Ali, I.M. El-Dokany, A.A. Saad, F.E. Abd El-Samie, Curvelet fusion of MR and CT images. Progress in Electromagnitics Research C, Vol. 3, pp. 215-224, 2008.
13. N.T. Binh, N.C. Thanh, Object detection of speckle image base on curvelet transform, ARPN Journal of Engineering and Applied Sciences Vol. 2, No. 3, 14-16, (2007).
14. F. Murtagh, J. Starck, Wavelet and curvelet moments for image classification: Application to aggregate mixture grading, Pattern Recognition Letters 29, pp. 1557 -1564, 2008.
15. E. J. Candes, L. Demanet, D.L. Donoho, L. Ying, Fast discrete curvelet transforms. Multiscale Model. Simul., 5, pp. 861-899, 2006. (Pubitemid 47381814)
16. F. Moayedi, ,Z. Azimifar, R.Boostani, S. Katebi, Contourlet based mammography mass classification. Lecture Notes in Computer Science 4633, pp. 923-934, 2007.
17. M.M. Eltoukhy, I. Faye, S.B. Belhaouari, Breast cancer diagnosis in digital mammogram using multiscale curvelet transform. Computerized Medical Imaging and Graphics, doi:10.1016/j.compmedimag.2009.11.002. In press. 2009.
18. I. Faye, B.B, Samir, M.M, Eltoukhy, Digital mammograms classification using a wavelet based feature extraction method, Proceeding (ICCEE2009) Dubai,UAE, December 28-30, 2009. IEEE, Catalogue Number 09PR3925, CFP0949I-PRT, December 2009.