A dynamic fuzzy classifier for detecting abnormalities in mammograms

Proceedings - 1st Canadian Conference on Computer and Robot Vision

Volumn , Issue , 2004, Pages 172-179

  Mohammed, Sabah ^a   Yang, Lei ^a   Fiaidhi, Jinan ^a  

^a LAKEHEAD UNIVERSITY   (Canada)

Author keywords

Edge Detection; Fuzzy Classifier; Image Segmentation; Medical Imaging

Indexed keywords

DIGITAL MAMMOGRAPHY; FUZZY CLASSIFIERS; FUZZY DOMAINS; MAMMOGRAMS;

ALGORITHMS; DIAGNOSIS; DISEASES; EDGE DETECTION; FUZZY SETS; IMAGE SEGMENTATION; MEDICAL IMAGING; ONCOLOGY; OPTIMIZATION; SCREENING; SIGNAL TO NOISE RATIO; TISSUE;

MAMMOGRAPHY;

EID: 4544386524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCRV.2004.1301441     Document Type: Conference Paper

References (28)

1. T. Holland T et al "So-called interval cancers of the breast: pathologic and radiographic analysis", Cancer 1982; 49:2527-2533.
2. H. Guillemet, H. Benali, et al "Detection and characterisation of micro calcifications in digital mammography", Third International Workshop on Digital Mammography, Chicago June 1996.
3. D.H. Davies and D.R. Dance "Automatic computer detection of subtle calcifications in radiographically dense breasts", Phys Med Biol 1992; 37:1385-1390.
4. F.F.Yin, M.L. Giger et al "Comparison of bilateral-subtraction and single-image processing techniques in the computerised detection of mammographic masses", Investigative Radiology 1993; 28:473-481.
5. P. Undrill, R. Gupta et al "The use of texture analysis and boundary refinement to delineate suspicious masses in mammography" SPIE Image Processing, Vol 2710, pp 301-310.
6. R.P. Hingham, J.M. Brady et al "A quantitative feature to aid diagnosis in mammography" Third International Workshop on Digital Mammography, Chicago June 1996.
7. L. F. Costa and R. M. Cesar Junior, SHAPE ANALYSIS AND CLASSIFICATION: THEORY AND PRACTICE, CRC Press Book Series on Image Processing, 2000.
8. H. Guillemet, H. Benali, et al "Detection and characterisation of micro calcifications in digital mammography", Third International Workshop on Digital Mammography, Chicago June 1996.
9. T. Netsch, "Detection of micro calcification clusters in digital mammograms: A space scale approach", Third International Workshop on Digital Mammography, Chicago June 1996.
10. G. McLeod, G. Parkin et al "Automatic detection of clustered microcalcifications using wavelets", Third International Workshop on Digital Mammography, Chicago June 1996.
11. M. B. Neto U, W. N. Siqueira et al "Mammographic calcification detection by mathematical morphology methods", Third International Workshop on Digital Mammography, Chicago June 1996.
12. A.C. Bovik et al "The effect of median filtering on edge estimation and detection", IEEE Trans. Pattern Anal. Machine Intell, vol PAMI-9, pp. 181-194, Mar 1987
13. A. BAZZANI, et al, SYSTEM FOR AUTOMATIC DETECTION OF CLUSTERED MICROCALCIFICATIONS IN DIGITAL MAMMOGRAMS, International Journal of Modern Physics C, Vol. 11, No. 5 (2000) 1-12
14. F. Russo, A new class of fuzzy operators for image processing, Proc. IEEE Int. Conf. Neural Netw. 1 (1993) 815-820.
15. F. Russo, A user-friendly research tool for image processing with fuzzy rules, in: Proceedings of the First IEEE International Conference on Fuzzy Systems, San Diego, 1992, pp. 561-568.
16. F. Russo, G. Ramponi, Fuzzy operator for sharpening of noisy images, IEE Electron. Lett. 28 (1992) 1715-1717.
17. C.G. Looney, Nonlinear rule-based convolution for refocusing, Real Time Imaging 6 (2000) 29-37.
18. C.G. Looney, Radial basis functional link nets and fuzzy reasoning, Neurocomputing 48 (1-4) (2002) 489-509.
19. C.G. Looney, Pattern Recognition Using Neural Networks, Oxford University Press, New York, 1997.
20. B. A. Maxwell and S. J. Brubaker Texture Edge Detection Using the Compass Operator, British Machine Vision Conference 2003
21. www.wiau.man.ac.uk/services/MIAS/MIASweb.html.
22. http://www.halls.md/breast/density.htm
23. Maria-Luiza Antonie, Osmar R. Zäiane, and Alexandra Coman,Application of Data Mining Techniques for Medical Image Classification, International Workshop on Multimedia Data Mining MDM/KDD2001, San Francisco, August 26, 2001.
24. Sabah Mohammed, Jinan Fiaidhi and Lei Yang, Morphological Analysis of Mammograms Using Visualization Pipelines, Pakistan Journal of Information Technology, Vol. 2, No. 2, 2002, 178-190.
25. H.R. Tizhoosh, Fuzzy Image Processing, Springer Verlag, 1997.
26. Lily Rui Liang, Carl G. Looney, "Competitive Fuzzy Edge Detection", International Journal of Applied Soft Computing, Volume 3, Issue 2, pp. 123-137, September, 2003.
27. B.J. van der Zwaag, K. Slump, and L. Spaanenburg. On the analysis of neural networks for image processing. In V. Palade, R.J. Hewlett, and L.C. Jain (eds.), Proceedings of the Seventh International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'2003, Oxford, UK, 3-5 Sept.), Part II, volume 2774 of Springer LNCS/LNAI, pages 950-958,2003. Springer-Verlag.
28. C. Cafforio, E. Di Sciasio, C. Guaragnella and G. Piscitelli, A Simple and Effective Edge Detector.