Mammographic mass detection by vicinal support vector machine

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 3, Issue , 2004, Pages 1953-1958

  Cao, Aize ^a   Song, Qing ^a   Yang, Xulei ^a   Liu, Sheng ^a   Guo, Chengyi ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER; BREAST MASS DETECTION; KERNEL BASED DETERMINISTIC ANNEALING (KBDA); RECEIVER OPERATING CHARACTERISTICS (ROC); VICINAL SUPPORT VECTOR MACHINE (VSVM);

BIOPSY; DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGING TECHNIQUES; INFORMATION ANALYSIS; LEARNING ALGORITHMS; PARAMETER ESTIMATION; RADIOLOGY; SIGNAL DETECTION; TUMORS;

MAMMOGRAPHY;

EID: 10844222766     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380912     Document Type: Conference Paper

References (14)

1. P.Gamagami, Atlas of Mammography: New Early Signs in Breast Cancer, Cambridge, MA, USA, 1996.
2. H. Kobatake, M. Murakami, H. Takeo, and S. Nawano, "Computerized detection of malignant tumors on digital mammograms", IEEE Transactions on Medical Imaging, vol.18, no.5, pp. 369-378, 1999.
3. N.R.Mudigonda, R.M.Rangayyan, and E.L.Desautels, "Gradient and Texture Analysis for the Classification of Mammographic Masses", IEEE Trans. on Medical Imaging, vol.19, no.10, pp. 1032-1043, 2000.
4. L.Zheng and A.K.Chan, "An artificial intelligent algorithm for tumor detection in screening mammogram", IEEE Transactions on Medical Imaging, vol.20, No.7, pp. 559-567, 2001.
5. H.Li, Y. Wang, K.J.R.Liu, S.-C.B.Lo, and M.T.Freedman, "Computerized radiagraphic mass detection-part I: lesion site selection by morphological enhancement and contextural segmentation", IEEE Trans. on Medical Imaging, vol.20, No.4, pp. 289-301, 2001.
6. F.M.Hall, J.M.Storella, D.Z.Silverstond and G.Wyshak, "Nonpalpable breast lesions: recommendations for biopsy based on suspicion of carcinoma at mammography", Radiology, vol. 167, pp. 353, 1988.
7. V.N.Vapnik, The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995.
8. K.Rose, "Deterministic annealing for clustering, compression, classification, regression, and related optimization problems", Proceedings of the IEEE, vol.86, No.11, pp. 2210-2239, 1998.
9. B.Schölkopf, J.C.Platt, J.S-Taylor and A.J.Smola, "Estimating the support of a high-dimensional distribution", Neural Computation, 13, 2001, pp. 1443-1471.
10. A.B-Hur, D.Horn, H.T.Siegelmann and V.Vapnik, "Support vector clustering", Journal of Machine Learning Research 2, pp. 125-137, 2001.
11. C.Burges, "A tutorial on support vector machines for pattern recognition", In Data Mining and Knowledge Discovery. Kluwer Academic Publishers, Boston, vol.2, 1998.
12. O.Chapelle, J.Weston, L.Bottou, V.Vapnik, "Vicinal risk minimization", NIPS 2000, pp 416-422.
13. U.Raeth, D.Schlaps, B.Limberg, I.Zuna, A.Lorenz, G.V.Kaick, W.J.Lorenz and B.Kommerell, "Diagonostic accuracy of computerized B-scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease", Journal Clinical Ultrasound 13, pp. 87-99, 1985.
14. B.Julesz, "Visual pattern discrimination", IEEE Trans. Information Theory IT-8, pp. 84-92, 1982.