THREECOND: An automated and unsupervised three colour fuzzy-based algorithm for detecting nuclei in cervical pap smear images

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Volumn , Issue , 2009, Pages 1359-1364

  Vaschetto, Fabio ^a   Montseny, Eduard ^b   Sobrevilla, Pilar ^b   Lerma, Enrique ^c  

^a POLITECNICO DI TORINO   (Italy)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

Cervical cancer screening; Color image analysis; Cytology; Fuzzy techniques; Image understanding; Pap test

Indexed keywords

AUTOMATED SCREENING; CERVICAL CANCERS; COLOR IMAGE ANALYSIS; ERROR PRONES; FUZZY TECHNIQUES; HUMAN ERRORS; MICROSCOPIC IMAGE; PAP SMEAR; VISUAL EXAMINATION; VISUAL PROCESS;

CELLS; COLOR IMAGE PROCESSING; CYTOLOGY; ERRORS; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGE UNDERSTANDING; INTELLIGENT SYSTEMS;

COLOR;

EID: 77949498383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2009.212     Document Type: Conference Paper

References (26)

1. D.M. Parkin, F. Bray, J. Ferlay, and P. Pisani, "Global cancer statistics, 2002", CA Cancer J Clin, 55(2), 2005, pp.74-108.
2. G.F. Sawaya, A.D. Brown, A.E. Washington, and A.M. Garber, "Clinical practice. Current approaches to cervical-cancer screening", N Eng J Med, 344, 2001, pp.1603-160.
3. P. Sasieni, J. Adams, and J. Cuzick, "Benefit of cervical screening at different ages: evidence from the UK audit of screening histories", Br J Cancer, 89, 2003, pp.88-93.
4. G.N. Papanicolaou, N.F. Traut, Diagnosis of uterine cancer by the vaginal smear, New York: Commonwealth Fund; 1943.
5. S.M. Selvaggi, "Implications of low diagnostic reproductibilit of cervical and histologic diagnosis", Journal of the American Medical Association -JAMA-, Vol.285, 2001, pp.1506-1507.
6. L. Denny, L. Kuhn, A. Pollack, H. Wainwright, and T. C. Wright, Jr., "Evaluation of alternative methods of cervical cancer screening for resource -poor settings," Cancer, Vol. 89, 2000, pp. 826-833.
7. M.H. Stoler, and M. Schiffman, "Atypical Squamous Cells of Undetermined Significance-Low-grade Squamous Intraepithelial Lesion Triage Study (ALTS) Group. Interobserver reproducibility of cervical cytology and histologic interpretations. Realistic estimates from the USCUS-LSIL Triage Study". Journal of the American Medical Association -JAMA-, 285, 2001, pp.1500-1505.
8. J.C. Bezdek, and M.A. Sutton, Image Processing in Medicine, Applications of Fuzzy Systems, ed. H.J. Zimmerman, Kluwer, Norwell, MA, 1999.
9. D.N.Chun and H.S.Yang, "Robust Image Segmentation Using Genetic Algorithm with Fuzzy Measure", Pattern Recognition, vol. 29, no. 7, 1996, pp1195-1211.
10. th Mediterranean Elechtrotechnical Conference (MELECON 2000), vol.2, 2000, pp.486-489.
11. Li Zhong, and K. Najarian, "Automated classification of Pap smear tests using neural networks Neural Networks", Proc. International Joint Conference on Neural Networks (IJCNN '01), vol. 4, July 2001, pp.2899-2901.
12. V. Van Raad, "Design of Gabor wavelets for analysis of texture features in cervical images". Proc. 25th Annual Int. Conf. of the IEEE Engin. in Med. and Biol. Soc. (IEEE EMBS), vol. 1, 2003. pp:806-809.
13. C. Bergeron, "Quality control of cervical cytology in highrisk women. PAPNET system compared with manual rescreening", Acta Cytol., 44, 2000; pp.151-155.
14. M.A. Duggan, "PAPNET-assisted, primary screening ofcervico-vaginal smears", Eur. J. Gynaec. Oncol., 21, 2000; pp.35-42.
15. E. Lerma, Ll. Colomo, A. Carreras, E. Esteva, M. Quilez, and J. Prat, "Re-screening of atypical vaginal smears with PAPNET", Cancer Cytopathology, 84, 1998; pp. 361-365.
16. G. Ronco, et al., "Impact of the AutoPap (currently Focalpoint) primary screening system location guide use on interpretation time and diagnosis", Cancer, 99(2), Apr 2003, pp.83-88.
17. W. J. Meerding, et al., "Cost analysis of PAPNET-assisted vs. conventional Pap smear evaluation in primary screening of cervical smears" Acta Cytologica, vol. 45 num. 1, 2001.
18. K. Losell, and A. Dejmek, "Comparison of papnet-assisted and manual screening ofcervical smears", Diagn. Cytopathol., 21, 1999; pp.296-299.
19. A. Cosentino, et al., "An Interlaboratory Study of the use of PAPNET in the quality control of cervico-vaginal cytology", Pathologica, 91, 1999, pp.101-106.
20. D.H. Grohs, "Impact of automated technology on the cervical cytologyc smear. A comparison of cost", Acta Cytology, vol.42, 1998, pp. 165-170.
21. B.H. Willis, P. Barton, P. Pearmain, S. Bryan, and C. Hyde, "Cervical screening programmes: can automation help? Evidence from systematic reviews, an economic analysis and a simulation modelling exercise applied to the UK", Health Technol Assess, 9(13), Mar. 2005, pp.1-207.
22. M. Confortini, et al., "A feasibility study of the use of the AutoPap screening system as a primary screening and location-guided rescreening device", Cancer, 99(3), Jun 2003, pp. 129-134.
23. P. Sobrevilla, E. Montseny, and E. Lerma, "A Fuzzy-based Automated Cells Detection System for Color Pap Smear Tests-FACSDS-", Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, Berlin / Heidelberg, 2008, pp. 657-674.
24. R. J. Kurman, and D. Solomon, The Bethesda System for reporting cervical/vaginal cytologyc diagnosis. Springer-Verlag. N. York. 1994.
25. S. Romani, E. Montseny, P. Sobrevilla, "An Approach to a Fuzzy Color Detection Method, Robust with Regard to Variable Illuminant Level Conditions", Proc. 2002 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS-FLINT 2002), 2002, pp. 69-74.
26. A. R. Smith, Color gamut transform pairs, IEEE Transactions on Computer Graphics, vol. 12, 1978, pp. 12-19.