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2012, Number 3

Medicentro 2012; 16 (3)

Aplicación de técnicas de visión computacional en la prueba de papanicolaou

Lorenzo GJV, Rodríguez SI
Full text How to cite this article

Language: Spanish
References: 10
Page: 196-198
PDF size: 71.02 Kb.


Key words:

vaginal smears, artificial intelligence, uterine neoplasms/diagnosis.

Text Extraction

No abstract.


REFERENCES

  1. Giménez-Mas JA, Sanz-Moncasi P, Alfaro-Torres J, Hörndler C, Urbiola-Marcilla E. Evaluación de dispositivos automatizados para diagnóstico citológico en la prevención del cáncer de cérvix. Rev Esp Patol. 2002;35(3):301-14.

  2. Bulgaresi P, Carlaggi M, Troni GM, Ciatto S. Quality control of the Autopap screening system employed as a primary screening device: rapid review of smears coded as no further review. Tumori. 2006;92:276-8.

  3. Coon S, Craig B. Assessing human and economic benefits of cancer prevention. En: Alberts D, Hess L, editors. Fundamentals of Cancer Prevention. Berlin Heidelberg: Springer-Verlag; 2008. p. 13-29.

  4. Cibas E. Cervical cytology automation: the U.S. Experience. 17th International Congress of Cytology; 2010 mayo 16-20. Edinburgh, Scotland.Austin RM. Computer-Assisted Papanicolaou Imaging. Cancer Cytopathol. 2010;118(2):65-7.

  5. Austin RM. Computer-Assisted Papanicolaou Imaging. Cancer Cytopathol. 2010;118(2):65-7.

  6. Sobrevilla P, Montseny E, Vaschetto F, Lerma E. Fuzzy-based analysis of microscopic color cervical pap smear images: nuclei detection. Int J Comput Intell Applicat. 2010;9(3):187-206.

  7. Kale A, Aksoy S. Segmentation of Cervical Cell Images. Actas de la IEEE 2010 International Conference on Pattern Recognition; 2010 Aug. 23-26; Istanbul, Turkey: IEEE Computer Society; 2010. p. 2399-402.

  8. Marinakis Y, Dounias G, Jantzen J. Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification. Comput Biol Med. 2009;39(1):69-78.

  9. Mat-Isa NA, Mashor MY, Othman NH. An automated cervical pre-cancerous diagnostic system. Artif Intell Med. 2008;42(1):1-11.

  10. Po-Chi H, Yung-Kuan C, Po-Chou C, Yung-Fu C, Rung-Ching C, Yu-Ruei H. Quantitative assessment of pap smear cells by PC-based cytopathologic image analysis system and support vector machine. En: Zhang D, editor. Lecture Notes in Computer Science LNCS 4901. Berlin Heidelberg: Springer-Verlag; 2008. p. 192-9.




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CÓMO CITAR (Vancouver)

Medicentro. 2012;16