Support vector machine for breast MR image classification

Computers and Mathematics with Applications

Volumn 64, Issue 5, 2012, Pages 1153-1162

  Lo, Chien Shun ^a   Wang, Chuin Mu ^b  

^a NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^b NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Breast MR image; C means; Classification; SVM

Indexed keywords

BREAST TISSUES; C-MEANS; CLASSIFICATION RATES; CLINICAL TRIAL; HUMAN BODIES; LIKELIHOOD RATIOS; MAGNETIC RESONANCE IMAGES; MR IMAGES; MULTI-SPECTRAL; PERFORMANCE EVALUATION; SPECTRAL TECHNIQUES; SVM;

CLASSIFICATION (OF INFORMATION); HISTOLOGY; IMAGE CLASSIFICATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TISSUE;

SUPPORT VECTOR MACHINES;

EID: 84865680004     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2012.03.033     Document Type: Conference Paper

References (25)

1. C.M. Wang, S.C. Yang, P.C. Chung, Y.N. Chung, C.C. Chen, C.W. Yang, and C.H. Wen Orthogonal subspace projection-base approach to classification of MR image sequences Computerized Medical Imaging and Graphics 25 6 2001 465 476
2. D. Jia, F. Han, J. Yang, Y. Zhang, D. Zhao, and G. Yu A synchronization algorithm of MRI denoising and contrast enhancement based on PM-CLAHE model JDCTA 4 6 2010 144 149
3. S. Chandra, R. Bhat, H. Singh, and D.S. Chauhan Detection of brain tumors from MRI using gaussian RBF kernel based support vector machine IJACT 1 1 2009 46 51
4. S.D. Salman, and A.A. Bahrani Segmentation of tumor tissue in gray medical images using watershed transformation method IJACT 2 4 2010 123 127
5. G. Cardenosa Breast Imaging Companion second ed. 2001 Williams and Wilkins
6. Y. Kita, E. Tohno, R.P. Highnam, and M. Brady A CAD system for the 3D location of lesions in mammograms Medical Image Analysis 6 3 2002 267 273
7. M.J. Stoutjesdijk, and C. Boetes Magnetic resonance imaging and mammography in women with a hereditary risk of breast cancer Journal of the National Cancer Institute 93 14 2001 1095 1102
8. F.A. Cardillo, A. Starita, D. Caramella, A. Cilotti, A Neural tool for Breast cancer detection and classification in MRI, in: Proceedings of the 23rd Annual EMBS International Conference, vol. 3, 2001, pp. 2733-2736.
9. Yibao Li, and Junseok Kim Multiphase image segmentation using a phase-field model Original Research Article Computers & Mathematics with Applications 62 3 2011 737 745
10. Pablo Irarrazaval, Carlos Lizama, Vicente Parot, Carlos Sing-Long, and Cristian Tejos The fractional fourier transform and quadratic field magnetic resonance imaging Computers & Mathematics with Applications 62 3 2011 1576 1590
11. Weishi Chen, Tiejun Liu, and Baofa Wang Ultrasonic image classification based on support vector machine with two independent component features Computers & Mathematics with Applications 62 7 2011 2696 2703
12. Navid Razmjooy, B. Somayeh Mousavi, and F. Soleymani A real-time mathematical computer method for potato inspection using machine vision Computers & Mathematics with Applications 63 1 2012 268 279
13. J. Li, N. Allinson, D. Tao, and X. Li Multitraining support vector machine for image retrieval IEEE Transaction on Image Processing 15 2006 3597 3601
14. M. Pontil, and A. Verri Support vector machines for 3D object recognition IEEE Transaction on PAMI 20 6 1998 637 646
15. L. Nannia, A. Luminia, and S. Brahnamb Local binary patterns variants as texture descriptors for medical image analysis Artificial Intelligence in Medicine 49 3 2010 117 125
16. D. Bariamisa, D. Maroulisa, and D.K. Iakovidis Unsupervised SVM-based gridding for DNA microarray images Computerized Medical Imaging and Graphics 34 6 2010 418 425
17. V.N. Vapnik The Nature of Statistical Learning Theory 1995 Springer-Verlag NY
18. V.N. Vapnik Estimation of Dependences Based on Empirical Data 1982 Springer-Verlag NY
19. R. Schalkoff Pattern Recognition: Statistical Structural and Neural Approaches 1992 Wiley, NY
20. Y. Sekine, A. Yokoyama, K. Yasuda, Y. Hayashi, R. Tanabe, H. Okamoto, and Y. Tada Optimal power flow in power systems Japan Electric Association 2002
21. R. Tanabe, Y. Tada, A practical algorithm for multi-area state estimation using phasor measurement units in: Proceeding of the the International Conference on Electrical Engineering. 2008, pp. 1-6.
22. C.M. Wang, C.C. Chen, Y.N. Chung, S.C. Yang, P.C. Chung, C.W. Yang, and C.I Chang Detection of spectral signatures in multispectral MR images for classification IEEE Transactions on Medical Imaging 22 1 2003 50 61
23. H.D. Chenga, J. Shana, W. Jua, Y. Guoa, and L. Zhangb Automated breast cancer detection and classification using ultrasound images: a survey Pattern Recognition 43 1 2010 299 317
24. Yingzi Du, and C.-I. Chang 3D combinational curves for accuracy and performance analysis of positive biometrics identification Optics and Lasers in Engineering 46 6 2008 477 490
25. G.C. Lin, C.C. Kang, W.J. Wang, and C.M. Wang Multispectral MR images segmentation based on fuzzy knowledge and modified seeded region growing Magnetic Resonance Imaging 30 3 2012 230 246