Breast cancer diagnosis in digital mammogram using multiscale curvelet transform

Computerized Medical Imaging and Graphics

Volumn 34, Issue 4, 2010, Pages 269-276

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

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Breast cancer diagnosis; Curvelet transform; Digital mammogram; Feature extraction; Multiresolution

Indexed keywords

BREAST CANCER DIAGNOSIS; CURVELET TRANSFORMS; DIGITAL MAMMOGRAM; DIGITAL MAMMOGRAMS; MULTI-RESOLUTIONS;

FACE RECOGNITION; MAMMOGRAPHY; X RAY SCREENS;

FEATURE EXTRACTION;

ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLASSIFIER; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; DIGITAL MAMMOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; PRIORITY JOURNAL;

ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77952237386     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2009.11.002     Document Type: Article

References (16)

1. Pal N.R., Bhowmick B., Patel S.K., Pal S., Das J. A multi-stage neural network aided system for detection of micro-calcifications in digitized mammograms. Neurocomputing 2008, 71:2625-2634.
2. Fu J.C., Lee S.K., Wong S.T.C., Yeh J.Y., Wang A.H., Wu H.K. Image segmentation, feature selection and pattern classification for mammographic micro-calcifications. Computerized Medical Imaging and Graphics 2005, 29:419-429.
3. Cheng H.D., Cia X., Chen X., Lou L.H. Computer-aided detection and classification of micro-calcification in mammogram: a survey. Pattern Recognition Letters 2003, 36:2967-2991.
4. Mousa R., Munib Q., Moussa A. Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural. Expert Systems with Applications 2005, 28:713-723.
5. Rashed E.A., Ismail I.A., Zaki S.I. Multiresolution mammogram analysis in multilevel decomposition. Pattern Recognition Letters 2007, 28:286-292.
6. Ferreira C.B.R., Borges D.L. Analyses of mammogram classification using a wavelet transform decomposition. Pattern Recognition Letters 2003, 24:973-982.
7. Yu S.N., Li K.Y., Huang Y.K. Detection of micro-calcifications in digital mammograms using wavelet filter and markov random field model. Computerized Medical Imaging and Graphics 2006, 30:163-173.
8. Liu S., Babbs C.F., Delp E.J. Multiresolution detection of spiculated lesions in digital mammograms. IEEE Transactions on Image Processing 2001, 10(6):874-884.
9. Candes E.J., Donoho D.L. Curvelets, multiresolution representation, and scaling laws. Wavelet Applications in Signal and Image Processing VIII, Proc. SPIE, vol. 4119 2000, A. Aldroubi, F. Laine, M.A. Unser (Eds.).
10. Soman K.P., Ramachandran K.I. Insight into wavelets: from theory to practice 2006, Prentice-Hall. second edition.
11. Dettori L., Semler L. A comparison of wavelet, ridgelet and curvelet based texture classification algorithms in computed tomography. Computers in Biology and Medicine 2007, 37:486-498.
12. Ali F.E., El-Dokany I.M., Saad A.A., Abd F.E., El-Samie Curvelet fusion of MR and CT images. Progress in Electromagnitics Research C 2008, 3:215-224.
13. Joshi M.S., Manthalkar R.R., Joshi Y.V. Image compression using curvelet, ridgelet and wavelet transform, a comparative study. ICGST-GVIP, ISSN 1687-398X, vol. 8 (III) 2008.
14. Binh N.T., Thanh N.C. Object detection of speckle image base on curvelet transform. ARPN Journal of Engineering and Applied Sciences 2007, 2(June (3)):14-16.
15. Murtagh F., Starck J. Wavelet and curvelet moments for image classification: application to aggregate mixture grading. Pattern Recognition Letters 2008, 29:1557-1564.
16. Candes E.J., Demanet L., Donoho D.L., Ying L. Fast discrete curvelet transforms. Multiscale Modelling and Simulation 2006, 5:861-899.