MCs detection approach using bagging and boosting based twin support vector machine

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 5000-5005

  Zhang, Xinsheng ^a,b   Gao, Xinbo ^b   Wang, Minghu ^c  

^a XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY   (China)

^b XIDIAN UNIVERSITY   (China)

^c NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Bagging; Boosting; Clustered microcalcifications; Detection; Enseble learning; Feature extraction; Twin support vector machine

Indexed keywords

APRIORI; ARTIFACT REMOVAL; BAGGING; BREAST CANCER; CLUSTERED MICROCALCIFICATIONS; COMBINED IMAGES; COMPUTER AIDED DETECTION; DETECTION APPROACH; GROUND TRUTH; IMAGE FEATURES; KEY ISSUES; NEW APPROACHES; TWIN SUPPORT VECTOR MACHINES;

CYBERNETICS; FEATURE EXTRACTION; HIGH PASS FILTERS; IMAGE PROCESSING; IMAGE RETRIEVAL; MAMMOGRAPHY; SUPPORT VECTOR MACHINES; VECTORS; X RAY SCREENS;

CALCIFICATION (BIOCHEMISTRY);

EID: 74849088229     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346375     Document Type: Conference Paper

References (17)

1. American Cancer Society, Breast Cancer Facts & Figures 2007-2008, American Cancer Society, Inc, Atlanta, 2007.
2. A. Jemal, R. Siegel, E. Ward et al., "Cancer Statistics, 2006," CA: A Cancer Journal for Clinicians, vol. 56, no. 2, pp. 106-130, 2006.
3. J. Dengler, S. Behrens, and J. Desaga, "Segmentation of microcalcifications in mammograms," IEEE Transactions on Medical Imaging, vol. 12, no. 4, pp. 634-642, 1993.
4. L. Wei, Y. Yang, R. Nishikawa et al., "A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications," IEEE Transactions on Medical Imaging, vol. 24, no. 3, pp. 371-380, 2005.
5. H. Cheng, X. Cai, X. Chen et al., "Computer-aided detection and classification of microcalcifications in mammograms: a survey," Pattern Recognition, vol. 36, no. 12, pp. 2967-2991, 2003.
6. R. Mousa, Q. Munib, and A. Moussa, "Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural," Expert Systems with Applications, vol. 28, no. 4, pp. 713-723, 2005.
7. A. Papadopoulos, D. I. Fotiadis, and A. Likas, "Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines," Artificial Intelligence in Medicine, vol. 34, no. 2, pp. 141-150, 2005.
8. I. El-Naqa, Y. Yongyi, M. N. Wernick et al., "A support vector machine approach for detection of microcalcifications," IEEE Transactions on Medical Imaging, vol. 21, no. 12, pp. 1552-1563, 2002.
9. S. Halkiotis, T. Botsis, and M. Rangoussi, "Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks," Signal Processing, vol. 87, no. 7, pp. 1559-1568, 2007.
10. L. Bocchi, G. Coppini, J. Nori et al., "Detection of single and clustered microcalcifications in mammograms using fractals models and neural networks," Medical Engineering & Physics, vol. 26, no. 4, pp. 303-312, 2004.
11. R. Jayadeva, and S. Chandra, "Twin Support Vector Machines for Pattern Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 5, pp. 905-910, 2007.
12. Z. Zhi-Hua, and Y. Yang, "Ensembling local learners Through Multimodal perturbation," IEEE Transactions on Systems, Man, and Cybernetics, Part B,vol. 35, no. 4, pp. 725-735, 2005.
13. G. I. Webb, and Z. Zheng, "Multistrategy ensemble learning: reducing error by combining ensemble learning techniques," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 8, pp. 980-991, 2004.
14. N. Ueda, "Optimal linear combination of neural networks for improving classification performance," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 2, pp. 207-215, 2000.
15. R. Schapire, and Y. Freund, "A decision theoretic generalization of on-line learning and an application to Boosting," J Comput Syst Sci, vol. 55, pp. 119-139, 1997.
16. L. Tsong-Wuu, and C. Yun-Feng, "A comparative study of Zernike moments." in Proceeding of WI2003, 2003 pp. 516-519.
17. M. S. Tamura H., Yamawaki T., "Texture features corresponsing to visual perception," IEEE Transactions. on Systems, Man and Cybernetics,, vol. 1, no. 8, pp. 460-472, 1978.