Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2012 (2012), Article ID 540457, 6 pages
http://dx.doi.org/10.1100/2012/540457
Research Article

Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers

CAPI Research Group, University of Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain

Received 27 October 2011; Accepted 8 December 2011

Academic Editor: Hanzhang Lu

Copyright © 2012 R. Gallardo-Caballero 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. J. Ferlay, D. M. Parkin, and E. Steliarova-Foucher, “Estimates of cancer incidence and mortality in Europe in 2008,” European Journal of Cancer, vol. 46, no. 4, pp. 765–781, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. American Cancer Society, “Cancer facts & figures,” Tech. Rep., American Cancer Society, Atlanta, Ga, USA, 2010. View at Google Scholar
  3. O. Peart, Mammography and Breast Imaging. Just the Facts, McGraw-Hill, 1st edition, 2005.
  4. R. L. Birdwell, D. M. Ikeda, K. F. O'Shaughnessy, and E. A. Sickles, “Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection,” Radiology, vol. 219, no. 1, pp. 192–202, 2001. View at Google Scholar · View at Scopus
  5. F. M. Hall, J. M. Storella, D. Z. Silverstone, and G. Wyshak, “Nonpalpable breast lesions: recommendations for biopsy based on suspicion of carcinoma at mammography,” Radiology, vol. 167, no. 2, pp. 353–358, 1988. View at Google Scholar · View at Scopus
  6. E. L. Thurfjell, K. A. Lernevall, and A. A. S. Taube, “Benefit of independent double reading in a population-based mammography screening program,” Radiology, vol. 191, no. 1, pp. 241–244, 1994. View at Google Scholar · View at Scopus
  7. R. M. L. Warren and S. W. Duffy, “Comparison of single reading with double reading of mammograms, and change in effectiveness with experience,” British Journal of Radiology, vol. 68, no. 813, pp. 958–962, 1995. View at Google Scholar · View at Scopus
  8. P. Taylor and H. W. W. Potts, “Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate,” European Journal of Cancer, vol. 44, no. 6, pp. 798–807, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. D. Kopans, Breast Imaging, LWW Medical Book Collection; Lippincott Williams & Wilkins, 2007.
  10. A. Horsch, A. Hapfelmeier, and M. Elter, “Needs assessment for next generation computer-aided mammography reference image databases and evaluation studies,” International Journal of Computer Assisted Radiology and Surgery, vol. 6, pp. 749–767, 2011. View at Google Scholar
  11. M. Heath, K. Bowyer, D. Kopans, R. Moore, and W. P. Kegelmeyer, “The digital database for screening mammography,” in Proceedings of the 5th International Workshop on Digital Mammography, M. J. Yaffe, Ed., pp. 212–218, Medical Physics, 2001.
  12. M. Kurdziel, K. Boryczko, and D. A. Yuen, “Detecting clusters of microcalcifications in high-resolutionmammograms using support vector machines,” Bio-Algorithms and Med-Systems, vol. 3, pp. 11–21, 2007. View at Google Scholar
  13. X. Yuan and P. Shi, “Microcalcification detection based on localized texture comparison,” in Proceedings of the International Conference on Image Processing (ICIP '04), vol. 5, pp. 2953–2956, October 2004. View at Scopus
  14. M. Altrichter and G. Horváth, “The refinement of microcalcification cluster assessment by joint analysis of MLO and CC views,” in Proceedings of the International Workshop on Digital Mammography (IWDM '06), S. M. Astley, M. Brady, C. Rose, and R. Zwiggelaar, Eds., vol. 4046 of Lecture Notes in Computer Science, pp. 509–516, Springer, 2005.
  15. H. K. Kang, S. M. Kim, N. N. Thanh, Y. M. Ro, and W. Kim, “Adaptive microcalcification detection in computer aided diagnosis,” in Proceedings of the International Conference on Computational Science, M. Bubak, G. D. van Albada, P. M. A. Sloot, and J. Dongarra, Eds., vol. 3039 of Lecture Notes in Computer Science, pp. 1110–1117, Springer, 2004.
  16. “DoD BCRP Mammography Datasets at USF,” 2000, http://marathon.csee.usf.edu/Mammography/DDSM/BCRP/bcrp.html.
  17. A. Hyvärinen and E. Oja, “Independent component analysis: algorithms and applications,” Neural Networks, vol. 13, no. 4-5, pp. 411–430, 2000. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Hyvarinen, “Fast and robust fixed-point algorithms for independent component analysis,” IEEE Transactions on Neural Networks, vol. 10, no. 3, pp. 626–634, 1999. View at Publisher · View at Google Scholar · View at Scopus
  19. R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2008.
  20. M. Riedmiller and H. Braun, “Direct adaptive method for faster backpropagation learning: the RPROP algorithm,” in Proceedings of the IEEE International Conference on Neural Networks, pp. 586–591, April 1993. View at Scopus
  21. E. A. Sickles, “Mammographic features of 300 consecutive nonpalpable breast cancers,” American Journal of Roentgenology, vol. 146, no. 4, pp. 661–663, 1986. View at Google Scholar · View at Scopus
  22. J. P. Egan, G. Z. Greenberg, and A. I. Schulman, “Operating characteristics, signal detectability, and the method of free response,” Journal of the Acoustical Society of America, vol. 33, pp. 993–1007, 1961. View at Publisher · View at Google Scholar
  23. J. P. Egan, Signal Decision Theory and Roc Analysis, Academic Press, 1975.
  24. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, Berlin, Germany, 2006.
  25. A. Zell, N. Mache, R. Hübner et al., “SNNS (stuttgart neural network simulator),” in Neural Network Simulation Environments, J. Skrzypek, Ed., vol. 254 of The Springer International Series in Engineering and Computer Science, Kluwer Academic Publishers, Norwell, Mass, USA, 1994. View at Google Scholar
  26. T. Sterling, D. J. Becker, D. Savarese, J. E. Dorband, U. A. Ranawake, and C. V. Packer, “A parallel workstation for scientific computation,” in Proceedings of the 24th International Conference on Parallel Processing, pp. 11–14, CRC Press, 1995.