Bilateral asymmetry identification for the early detection of breast cancer

MeMeA 2011 - 2011 IEEE International Symposium on Medical Measurements and Applications, Proceedings

Volumn , Issue , 2011, Pages 613-618

  Mencattini, A ^a   Salmeri, M ^a   Casti, P ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; GABOR FILTERS; MAMMOGRAPHY; TUMORS;

ADAPTIVE CLUSTERING; AUTOMATED PROCEDURES; BAYES CLASSIFIER; BILATERAL ASYMMETRIES; DETECTION ALGORITHM; EARLY DETECTION OF BREAST CANCER; LEAVE ONE OUT METHODS; MEASUREMENT UNCERTAINTY;

UNCERTAINTY ANALYSIS;

EID: 80052376882     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MeMeA.2011.5966746     Document Type: Conference Paper

References (25)

1. J. Ferlay et al., "Estimates of worldwide burden of cancer in 2008: Globocan 2008," International Journal of Cancer, vol. 127, pp. 2893 -2917, 2010.
2. M. Bazzocchi et al., "Cad systems for mammography: a real opportunity? a review of the literature," Radiol. Med., vol. 112, pp. 329 - 353, 2007.
3. V. Lattanzio and G. Simonetti, Mammography-guide to interpretation, reporting and auditing mammographic images Re. Co. R. M., Springer-Verlag, 2007.
4. C. Balleyguier et al., "Birads™ classification in mammography," European Journal of Radiology, vol. 61, pp. 192 - 194, 2007.
5. R.J. Ferrari, R.M. Rangayyan, J.E.L. Desautels, and A.F. Frere, "Analysis of asymmetry in mammograms via directional filtering with gabor wavelets," IEEE Transactions on Medical Imaging, vol. 20, no. 9, pp. 953 - 964, 2001.
6. T.K. Lau and W.F. Bischof, "Automated detection of breast tumors using the asymmetry approach," .
7. P. Miller and S. Astley, "Detection of breast asymmetry using anatomical features," in Biomedical Image Processing and Biomedical Visualization, Proceedings of SPIE, C.B. Goldgof R.S. Acharya, Ed., 1993, vol. 1905, pp. 433 - 442.
8. P. Miller and S. Astley, Automated detection of breast asymmetry using anatomical features, vol. 9 of Series in Machine Perception and Artificial Intelligence, chapter State of the Art in Digital Mammographic Image Analysis, pp. 433 - 442, World Scientific, River Edge, NJ, 1994.
9. R. J. Ferrari R. M. Rangayyan and A. F. Frere, "Analysis of bilateral asymmetry in mammograms using directional, morphological, and density features," J. Electron. Imag., vol. 16, no. 1, 2007.
10. J. Suckling et al., "The mammographic image analysis society digital mammogram database," in Proc. 2nd Int. Workshop Digital Mammography, D. R. Dance A. G. Gale, S. M. Astley and Eds. A. Y. Cairns, Eds., York, U.K., 1994, pp. 375 - 378.
11. A. Mencattini et al., "Features extraction and fuzzy logic based classification for false positives reduction in mammographic images," in International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS '11), Rome, Italy, Jan 2011.
12. E.D. Pisano et al., "Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms," Journal of Digital Imaging, vol. 11, no. 4, pp. 193 - 200, 1998.
13. R.J. Ferrari et al., "Segmentation of the fibro-glandular disc in mammograms using gaussian mixture modeling," Medical Biology Engineering Computing, vol. 42, pp. 378 - 387, 2004.
14. Y. Xu and T.Nishimura, "Segmentation of breast lesions in ultrasound images using spatial fuzzy clustering and structure tensors," Medical Biology Engineering Computing, vol. 53, 2009.
15. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, 1981.
16. A.M. Bensaid et al., "Validity-guided (re)clustering with applications to imige segmentation," IEEE Transactions on Fuzzy Systems, vol. 4, pp. 112 - 123, 1996.
17. T.C. Havens, J.C. Bezdek, J.M. Keller, and M. Popescu, "Dunns cluster validity index as a contrast measure of vat images," in Proc ICPR, Tampa, FL, 2008.
18. Fbio J. Ayres and R. M. Rangayyan, "Design and performance analysis of oriented feature detectors," Journal of Electronic Imaging, vol. 16, no. 2, 2007.
19. P.C. Austin and J. Tu, "Bootstrap methods for developing predictive models," Am. Statistician, vol. 58, pp. 131 - 137, 2004.
20. R.O. Duda and P.E. Hart, Pattern classification and scene analysis, Wiley-New York, 1973.
21. M.K. Hu, "Visual pattern recognition by moment invariants," IRE Trans. Inf. Theory, vol. 8, no. 2, pp. 179 - 187, 1962.
22. JCGM, "Evaluation of measurement data - an introduction to the guide to the expression of uncertainty in measurement 104:2009," Tech. Rep., JCGM, 2009.
23. A. Ferrero, A. Federici, and S. Salicone, "A method for considering and processing measurement uncertainty in fuzzy inference systems," in International Instrumentation and Measurement Technology Conference (I2MTC 2009), May 2009, pp. 5 - 7.
24. A. Ferrero et al., "Uncertainty evaluation in a fuzzy classifier for microcalcifications in digital mammography," in IEEE Instrumentation and Measurement Technology Conference (IMTC '10), Austin, TX, USA, May 2010.
25. M. Salmeri, A. Mencattini, G. Rabottino, and R. Lojacono, "Signaldependent noise characterization for mammographic images denoising," in IMEKO TC4 Symposium, Firenze, Italy, 2008.