Automatic Classification of Mammographic Parenchymal Patterns: A Statistical Approach

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 1, Issue , 2003, Pages 798-801

  Petroudi, Styliani ^a   Kadir, Timor ^a   Brady, Michael ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

BI RADS; Breast parenchymal density patterns; Classification; Image segmentation; Mammograms; Texture; Wolfe

Indexed keywords

IMAGE SEGMENTATION; MAMMOGRAPHY; RADIOLOGY; TEXTURES; TUMORS;

BI-RADS; BREAST PARENCHYMAL DENSITY PATTERNS; CLASSIFICATION; MAMMOGRAMS; WOLFE;

BIOLOGICAL ORGANS;

EID: 1542362354     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. J.W. Byng, N.F. Boyd, E. Fishell, R.A. Jong, and M.J. Yaffe. Automated analysis of mammographic densities. Physics in Medicine and Biology, 41:909-923, 1996.
2. M. Varma and A. Zisserman. Classifying images of materials: Achieving viewpoint and illumination independence. In Proceedings of the European Conference on Computer Vision, Copenhagen, Denmark, pages 255-271, 2002.
3. S.R. Wellings, H.M. Jensen, and R.G. Marcum. An atlas of subgross pathology of the human breast with special reference to possible precancerous lesions, Journal of National Cancer Institute, 55:231, 1975.
4. J.N. Wolfe. Risk for breast cancer development determined by mammographic parenchymal pattern. Cancer, 37:2486-2492, 1976.
5. American College of Radiology. Illustrated Breast Imaging Reporting and Data System (BI-RADS). American College of Radiology, third edition, 1998.
6. N.F. Boyd, J.W. Byng, R.A. Jong, E.K. Fishell, L.E. Little, A.B. Miller, G.A. Lockwood, D.L. Tritchler, and M.J. Yaffe. Quantitative classification of mammographic densities and breast cancer risk: Results from the canadian national breast screening study. Journal of the National Cancer Institute, 87(9):670-675, 1995.
7. K. Marias. Registration and Quantitative Comparison of Temporal Mammograms (with Application to HRT Data. PhD thesis, University College London, 2002.
8. R. Highnam and M. Brady. Mammographic Image Analysis. Kluwer Academic Publishers, 1999.
9. P. Miller and S. Astley. Classification of breast tissue by texture and analysis. Image and Vision Computing, 10:277-282, 1992.
10. K. Bovis and S. Singh. Classification of mammographic breast density using a combind classifier paradigm. In 4th International Workshop on Digital Mammography, pages 177-180, 2002.
11. N. Karssemeijer. Automated classification of parenchymal patterns in mammograms. Physics in Medicine and Biology, 43:365-378, 1998.
12. T. Leung and J. Malik. Representing and recognizing the visual appearance of materials seing three-dimensional textons. International Journal of Computer Vision, 43(1):29-44, June 2001.
13. S. Petroudi and M. Brady. An automated algorithm for breast background segmentation. In Medical Imaging Understanding and Analysis, 2003. In Press.
14. R. O. Dudaand P.E. Hart. Pattern Classificaton and Scene Analysis. Wiley, 1973.
15. K. Marias, S. Petroudi, J.M. Brady, R. Adams, and R.E. English. Subjective and computer-based characterisation of mammographic patterns. In International Workshop on Digital Mammography, 2002.
16. S. Petroudi, K. Marias, R. English, R. Adams, and M. Brady. Classification of mammogram patterns using area measurements and the standard mammogram form (smf). In Medical Imaging Understanding and Analysis, pages 197-200, 2002.