Skip to main content
Have a personal or library account? Click to login
A New Approach for Mammogram Image Classification Using Fractal Properties Cover

A New Approach for Mammogram Image Classification Using Fractal Properties

Cybernetics and Information Technologies
Volume 12 (2012): Issue 2 (June 2012)
By: ,  ,  ,   and    
Open Access
|Mar 2013
References

References

  1. 1. Kobatake, H., M. Murakami, H. Takeo, S. Nawano. Computerized Detection of Malignant Tumors on Digital Mammograms. - In: IEEE Tran. Medical Imaging, Vol., 1999, No 5, 369-378.
    Open DOISearch in Google Scholar
  2. 2. Zhou, X. Q., H. K. Huang, S. L. Lou. Authenticity and Integrity of Digital Mammography Images. - IEEE Trans on Medical Imaging, Vol., 2001, No 8, 784-791.
    Open DOISearch in Google Scholar
  3. 3, Lundahi, T., W. J. Ohley, S. M. Kay, R. Siffert. Fractional Brownian Motion: A Maximum Likelihood Estimator and Its Application to Image Texture. - In: IEEE Trans. Med. Imaging, Vol., September 1986.
    Open DOISearch in Google Scholar
  4. 4. Erkang, C., X. Nianhua, L. Haibin, P. R. Bakic, A. D. A. Maidment, V. Megalooikonomou. Mammographic Image Classification Using Histogram Intersection. - In: IEEE Proc. ISBI’10, 2010, 197-200.
    Search in Google Scholar
  5. 5. Hassanien, E. A., M. H. Jafar Ali. Rough Set Approach for Classification of Breast Cancer Mammogram Images. - In: Int.Workshop on Fuzzy and App., 2003, 224-231.
    Open DOISearch in Google Scholar
  6. 6. Lúcio, F. A., C. S. C. Aristófanes, A. K. Barros. Diagnosis of Breast Cancer in Digital Mammograms Using Independent Component Analysis and Neural Networks. - LNCS, Vol., 2005, 460-469.
    Search in Google Scholar
  7. 7. Arod, T., M. Kurdziel, E. O. D. Sevre, D. A. Yuen. Pattern Recognition Techniques for Automatic Detection of Suspicious-Looking Anomalies in Mammograms. − Comput. Methods Prog. Biomed, 2005, 135-149.
    Open DOISearch in Google Scholar
  8. 8. Huai, Li, K. J. R. Liu, S.-C. B. Lo. Fractal Modeling and Segmentation for the Enhancement of Microcalcification in Digital Mammograms. - In: IEEE Trans. Med. Imaging, 1997, 785-798.
    Open DOISearch in Google Scholar
  9. 9. Zhang, P., K. Kumar, B. Verma. A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. - LNCS, Vol., 2005.
    Open DOISearch in Google Scholar
  10. 10. Buciu, I., A. Gacsadi. Directional Features for Automatic Tumor Classification of Mammogram Images. − Biomedical Signal Processing and Control, 2011 (in Press).
    Open DOISearch in Google Scholar
  11. 11. Dua, S., S. Harpreet, H. W. Thompson. Associative Classification of Mammograms Using Weighted Rules. − Expert Syst. Appl., 2009, 9250-9259.
    Open DOISearch in Google Scholar
  12. 12. Antonie, M.-L., O. R. Zaiane, A. Coman. Application of Data Mining Techniques for Medical Image Classification. - MDM/KDD, 2001, 94-101.
    Search in Google Scholar
  13. 13. Petroudi, S., T. Kadir, M. Brady. Automatic Classification of Mammographic Parenchymal Patterns: A Statistical Approach. - In: IEEE Proc. EMBS, 2003, 798-801.
    Search in Google Scholar
  14. 14. Lekshmi, S., K. Revathy, S. R. Prabhakaran Nayar. Galaxy Classification Using Fractal Signature. - A&A, Vol., 2003, 1163-1167.
    Open DOISearch in Google Scholar
  15. 15. Don, S., K. Revathy. Classifying Remotely Sensed Data Using Fractal Features. - AIPR, USA, 2007, 262-266.
    Open DOISearch in Google Scholar
  16. 16. Heath, M., K. Bowyer, D. Kopans, Jr. P. Kegelmeyer, R. Moore, K. Chang, S. Munishkumaran. Current Status of the Digital Database Screening Mammography. − In: Proceedings of the 4th IWDM, 1997, 457-460.
    Open DOISearch in Google Scholar
  17. 17. Suckling, J. et al. The Mammographic Image Analysis Society Digital Mammogram Database Exerpta Medica. − International Congress Series, Vol.1994, 375-378.
    Search in Google Scholar
  18. 18. American College of Radiology, Illustrated Breast Imaging Reporting and Data System BIRADS. Reston,VA, American College of Radiolog., 1993.
    Search in Google Scholar
  19. 19. Mandelbrot, B. B. The Fractal Geometry of Nature. San Francisco, CA, W. H. Freeman, 1982.
    Search in Google Scholar
  20. 20. Yuan, Yan Tang. Wavelet Theory Approach To Pattern Recognition. 2nd Edition. World Scientific.
    Search in Google Scholar
  21. 21. Douketis, C., W. Zhouhang, T. L. Haslett, M. Moskovits. Fractal Character of Cold-Deposited Silver Films Determined by Low-Temparature Scanning Tunneling Microscopy. - Phys. Rev., Vol., 1995, 11022-11031.
    Open DOISearch in Google Scholar
  22. 22. Espinal, F., T. L. Hunberger, B. Jawerth, T. Kubota. Galaxy Classification Using Fractal Signature. - Opt. Eng., Vol., 1998, p. 166.
    Open DOISearch in Google Scholar
  23. 23. Peleg, S., N. J. Hartley, R. Avnird. Multiple Resolution Texture Analysis and Classification. - In: IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol., 1984, 518-523.
    Open DOISearch in Google Scholar
  24. 24. Zhang, W., K. Doi, M. Giger, R. Nishikawa, R. Schmidt. An Improved Shift- Invariant Artificial Neural Network for Computerized Detection of Clustered Microcalcification in Digital Mammograms. - Med. Phys., Vol., 1996, No 4, 595-601.
    Open DOISearch in Google Scholar
  25. 25. White, R. L. Object Classification in Astronomical Images. − In: Statistical Challenges in Modern Astronomy II. Springer, 1997.
    Open DOISearch in Google Scholar
  26. 26. Karahaliou, A., S. Skiadopoulos, I. Boniatis, P. Sakellaropoulos, E. Likaki, G. Panayiotakis, L. Costaridou. Texture Analysis of Tissue Surrounding Microcalcifications on Mammograms for Breast Cancer Diagnosis. - The British Journal of Radiology, 2007, 684-656.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/cait-2012-0013 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702 (formerly 1314-4081)
Journal RSS Feed
Language: English
Page range: 69 - 83
Published on: Mar 16, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Keywords:
Fractal Dimension,
Fractal Signature,
mammograms,
self-similarity,
classification
Related subjects:
Computer sciences,
Information technology

© 2013 S. Don, Duckwon Chung, K. Revathy, Eunmi Choi, Dugki Min, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.

Volume 12 (2012): Issue 2 (June 2012)
Previous article
Next article