Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2009, Article ID 767805, 13 pages
http://dx.doi.org/10.1155/2009/767805
Research Article

Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms

1Department of Electrical and Computer Engineering, Western Michigan University, MI 49008, USA
2Radiology Department, Bronson Methodist Hospital, Kalamazoo, MI 49007, USA

Received 24 April 2009; Accepted 13 October 2009

Academic Editor: Scott Pohlman

Copyright © 2009 Imad Zyout et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. http://www.cancer.org/docroot/CRI/content/CRI_2_2_1X_How_many_people_get_breast_cancer_5.asp.
  2. D. Kopans, Breast Imaging, Lippincott Williams, New York, NY, USA, 1998.
  3. H. D. Cheng, X. Cai, X. Chen, L. Hu, and X. Lou, “Computer-aided detection and classification of microcalcifications in mammograms: a survey,” The Journal of Pattern Recognition Society, vol. 36, no. 12, pp. 2967–2991, 2003. View at Publisher · View at Google Scholar · View at Scopus
  4. T. W. Freer and M. J. Ulissey, “Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center,” Radiology, vol. 220, no. 3, pp. 781–786, 2001. View at Google Scholar · View at Scopus
  5. R. M. Rangayyan, F. J. Ayres, and J. E. Leo Desautels, “A review of computer-aided diagnosis of breast cancer: toward the detection of subtle signs,” Journal of the Franklin Institute, vol. 344, no. 3-4, pp. 312–348, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. B. Boyer, C. Balleyguier, O. Granat, and C. Pharaboz, “CAD in questions/answers. Review of the literature,” European Journal of Radiology, vol. 69, no. 1, pp. 24–33, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. N. Karssemeijer, “Adaptive noise equalization and image analysis in mammography,” in Proceedings of the 13th International Conference on Information Processing in Medical Imaging (IPMI '93), Lecture Notes in Computer Science, pp. 472–486, Flagstaff, Ariz, USA, 1993.
  8. M. B. McSweeney, P. Sprawls, and R. L. Egan, “Enhanced image mammography,” American Journal of Roentgenology, vol. 140, no. 1, pp. 9–14, 1983. View at Google Scholar · View at Scopus
  9. R. Gordon and R. M. Rangayyan, “Feature enhancement of film mammograms using fixed and adaptive neighborhoods,” Applied Optics, vol. 23, no. 4, pp. 560–564, 1984. View at Google Scholar · View at Scopus
  10. W. M. Morrow, R. B. Paranjape, R. M. Rangayyan, and J. E. Leo Desautels, “Region-based contrast enhancement of mammograms,” IEEE Transactions on Medical Imaging, vol. 11, no. 3, pp. 392–406, 1992. View at Publisher · View at Google Scholar · View at Scopus
  11. K. Thangavel, M. Karnan, R. Sivakumar, and A. Mohidee, “Automatic detection of microcalcification in mammograms—a review,” International Journal on Graphics, Vision and Image Processing, vol. 5, no. 5, pp. 31–61, 2005. View at Google Scholar
  12. A. Laine, J. Fan, and W. Yang, “Wavelets for contrast enhancement of digital mammography,” IEEE Engineering in Medicine and Biology Magazine, vol. 14, no. 5, pp. 536–550, 1995. View at Publisher · View at Google Scholar · View at Scopus
  13. H. Yoshida, W. Zhang, W. Cai, K. Doi, R. Nishikawa, and M. Giger, “Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms,” in Proceedings of the IEEE International Conference on Image Processing (ICIP '95), pp. 152–155, Washington, DC, USA, October 1995. View at Scopus
  14. T. C. Wang and N. B. Karayiannis, “Detection of microcalcifications in digital mammograms using wavelets,” IEEE Transactions on Medical Imaging, vol. 17, no. 4, pp. 498–509, 1998. View at Google Scholar · View at Scopus
  15. H. Li, K. J. R. Liu, and S. C. B. Lo, “Fractal modeling of mammogram and enhancement of microcalcifications,” in Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference, pp. 1850–1854, Anaheim, Calif, USA, 1996. View at Scopus
  16. J. C. Fu, S. K. Lee, S. T. C. Wong, J. Y. Yeh, A. H. Wang, and H. K. Wu, “Image segmentation feature selection and pattern classification for mammographic microcalcifications,” Computerized Medical Imaging and Graphics, vol. 29, no. 6, pp. 419–429, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. I. Abdel-Qader, I. Zyout, and C. Jacobs, “Detection of synthetic and real microcalcifications based on the statistical analysis of the original and high pass filtered mammograms,” to appear in Machine Graphic and Vision Journal.
  18. M. N. Gurcan, Y. Yardimci, A. E. Cetin, and R. Ansari, “Detection of microcalcifications in mammograms using higher order statistics,” IEEE Signal Processing Letters, vol. 4, no. 8, pp. 211–216, 1997. View at Google Scholar · View at Scopus
  19. S.-N. Yu, K.-Y. Li, and Y.-K. Huang, “Detection of microcalcifications in digital mammograms using wavelet filter and Markov random field model,” Computerized Medical Imaging and Graphics, vol. 30, no. 3, pp. 163–173, 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. Y.-K. Huang and S.-N. Yu, “Recognition of microcalcifications in digital mammograms using high order Markov random field,” in World Congress on Medical Physics and Biomedical Engineering, vol. 14 of IFMBE Proceedings, pp. 2276–2279, Springer, Berlin, Germany, 2007. View at Publisher · View at Google Scholar
  21. R. N. Strickland and H. Hahn II, “Wavelet transforms for detecting microcalcifications in mammograms,” IEEE Transactions on Medical Imaging, vol. 15, no. 2, pp. 218–229, 1996. View at Google Scholar · View at Scopus
  22. B. Caputo, L. Torre, and G. E. Gigante, “Microcalcification detection using kernel Bayes classifier,” in Proceedings of the International Symposium on Medical Data Analysis (ISMDA '02), Rome, Italy, 2002.
  23. I. N. Bankman, J. Tsai, D. W. Kim, O. B. Gatewood, and W. R. Brody, “Detection of microcalcification clusters using neural networks,” in Proceedings of the IEEE 16th Annual International Conference on Engineering in Medicine and Biology Society, pp. 590–591, Baltimore, Md, USA, November 1994. View at Scopus
  24. C. Gonzales and E. Woods, Digital Image Processing, Prentice Hall, Upper Saddle River, NJ, USA, 2nd edition, 2004.
  25. N. Karssemeijer, “A stochastic model for automated detection calcifications in digital mammograms,” in Proceedings of the 12th International Conference on Information Processing in Medical Imaging (IPMI '91), pp. 227–238, Wye, UK, 1991.
  26. I. El-Naqa, Y. Yang, M. N. Wernick, N. P. Galatsanos, and R. M. Nishikawa, “A support vector machine approach for detection of microcalcifications,” IEEE Transactions on Medical Imaging, vol. 21, no. 12, pp. 1552–1563, 2002. View at Publisher · View at Google Scholar · View at Scopus
  27. H.-D. Cheng, Y. M. Lui, and R. I. Freimanis, “A novel approach to microcalcification detection using fuzzy logic technique,” IEEE Transactions on Medical Imaging, vol. 17, no. 3, pp. 442–450, 1998. View at Google Scholar · View at Scopus
  28. K. Thangavel and M. Karnan, “Computer aided diagnosis in digital mammograms: detection of microcalcifications by meta heuristic algorithms,” ICGST International Journal on Graphics, Vision and Image Processing, vol. 5, no. 7, 2005. View at Google Scholar
  29. S. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674–693, 1989. View at Publisher · View at Google Scholar · View at Scopus
  30. E. Sakka, A. Prentza, I. Lamprinos, and D. Koutsouris, “Microcalcification detection using multiresolution analysis based on wavelet transform,” in Proceedings of the International Special Topic Conference Information Technology in Biomedicine (ITAB '06), Epirus, Greece, October 2006.
  31. A. M. Bagci and A. E. Cetin, “Detection of microcalcification clusters in mammogram images using local maxima and adaptive wavelet transform analysis,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '02), pp. 3856–3859, Orlando, Fla, USA, May 2002. View at Scopus
  32. J. Suckling, J. Parker, D. Dance et al., “The mammographic image analysis society digital mammogram database. Exerpta Medica,” International Congress Series, vol. 1069, pp. 375–378, 1994. View at Google Scholar
  33. N. Otsu, “A threshold selection method from gray-level histograms,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 9, no. 1, pp. 62–66, 1979. View at Google Scholar · View at Scopus