DOI:

https://doi.org/10.14483/22484728.9873

Publicado:

2014-12-31

Número:

Vol. 8 Núm. 2 (2014)

Sección:

Visión Investigadora

Color descriptors for cytology smear images analysis

Autores/as

  • Jose Gabriel Saenz
  • Luz Helena Camargo
  • Esperanza Camargo

Palabras clave:

Cell imaging of cervical screening, Cervical cancer, Dominant color descriptor, Color layout descriptor (es).

Descargas

Resumen (es)

The technique Pap conventional cytology is used as a means of screening to identify normal and abnormal cells, which can prevent cervical cancer. However, a high level of expertise by the cytopathologist performing screening is required, and considering the number of samples to be examined in a working day, increasing the possibility of error. Therefore, several strategies have been implemented to automate this process by taking the original image and converting to grayscale, but this way the information related to the color is lost, a feature that provides a high discriminative power of the elements of interest (nucleus and cytoplasm).

In this work images obtained in a database of public domain cell cervical cytology, a step of preprocessing was applied to correct lighting and eliminate image noise, then color two descriptors were implemented; the Dominant Color Descriptor (DCD) and the Descriptor of the Distribution of Color (DDC) for characterizing the content of the images. As a result of this study the implementation of a preprocessing stage in the cell image analysis of cervical cytology combined with the use of information related to the color achieved effectively make detection nucleus and cytoplasm, able to develop a method automatic detection of abnormal cells and thus prevent cervical cancer.

Referencias

J Ferlay, F Bray, P Pisani, and D Parkin, GLOBOCAN 2002: Cancer Incidence, Mortality and Prevalence Worldwide, Tech. report, Lyon: IARC; 2004. Report No.:, 2002.

J. Ferlay, H. Shin, F. Bray, D. Forman, C. Mathers, and D. Parkin, “Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008”, International Journal of Cancer, vol. 127, no. 12, pp. 2893-2917, Dec. 2010.

A. Jemal, F. Bray, M. Center, J. Ferlay, E. Ward and D. Forman, “Global cancer statistics”, A Cancer Journal for Clinicians, Vol. 61, no. 2, pp. 69-90, Apr. 2011.

G. Papanicolaou, A new procedure for stainig vaginals smears, Science 95 (1942), 438–439.

G. Papanicolaou and E. Bridges, Simple method for protecting fresh smears from drying and deteriorations during mailing, Journal of the American Medical Association 164 (1957.), 1330–1331.

Organizaci´on Panamericana de la Salud., Manual de Procedimientos del Laboratorio de Citolog´ıa, Organizacion Panamericana de la Salud., 2002.

Organizaci´on Mundial de la Salud, Control integral del c´ancer cervicouterino. Gu´ıa de pr´acticas esenciales, 2007.

P. Disaia and W. Creasman, Oncologıa Ginecologica Cl´ınica, Elsevier Science, 2002.

J Mayer, I Bruchim, SV Blank, and P Petignat, Advancing

women’s cancer care. Report from the 37th Annual Meeting of the Society of Gynecologic Oncologists, Gynakol Geburtshilfliche Rundsch., 2006

Y. Marinakis, M. Marinak, and G. Dounias, Particle swarm optimization for pap-smear diagnosis, Expert Systems with Applications 35 (2008), 1645–1656

Y. Marinakis, G. Dounias, and J. Jantzen, Papsmear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification, Computers in Biology and Medicine 39 (2009), 69–78.

E. Martin, Pap-Smear Classification, Master’s thesis,

Technical University of Denmark, 2003.

L. Camargo, Romero E., and Diaz G. Classification of squamous cell cervical cytology. Master’s thesis, Universidad Nacional, 20012.

J. Byriel, Neuro-fuzzy classification of cell in cervical smears, Master’s thesis, Technical University of Denmark (1999).

J. Norup, Classification of pap-smear data by transductive

neuro-fuzzy methods, Master’s thesis, Technical University of Denmark (2005).

R. C. Gonzalez, R. E. Woods. Tratamiento Digital

de Im´agenes. Ed. ADDISON-WESLEY.

P. Capilla, J. M. Artigas y J. Pujol. Fundamentos de colorimetr´ıa. Educaci´on Serie materials.2002.

P. Capilla, J. M. Artigas y J. Pujol. Tecnolog´ıa del color. Educaci´on Serie materials.2002.

O. Penatti, E. Valle, R. Torres, Comparative study of global color and texture descriptors for web image retrieval”, Journal of Visual Communication and Image Representation, Vol. 23, no. 2, pp. 359-380, Feb. 2012.

Manjunath, J. Ohm, V. Vasudevan, A. Yamada, Color and texture descriptor, Circuits and System FOR Video Technology, IEEE Transactions, Vol. 11, Is. 6, 2001, pp. 703-715.

N Yang, W. Chang, C. Kuo, T. Li, A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval, Journal of Visual Communication and Image Representation, Vol. 19, Is. 2, February 2008, pp. 92-105.

Cómo citar

APA

Saenz, J. G., Camargo, L. H., & Camargo, E. (2014). Color descriptors for cytology smear images analysis. Visión electrónica, 8(2), 67–73. https://doi.org/10.14483/22484728.9873

ACM

[1]
Saenz, J.G., Camargo, L.H. y Camargo, E. 2014. Color descriptors for cytology smear images analysis. Visión electrónica. 8, 2 (dic. 2014), 67–73. DOI:https://doi.org/10.14483/22484728.9873.

ACS

(1)
Saenz, J. G.; Camargo, L. H.; Camargo, E. Color descriptors for cytology smear images analysis. Vis. Electron. 2014, 8, 67-73.

ABNT

SAENZ, J. G.; CAMARGO, L. H.; CAMARGO, E. Color descriptors for cytology smear images analysis. Visión electrónica, [S. l.], v. 8, n. 2, p. 67–73, 2014. DOI: 10.14483/22484728.9873. Disponível em: https://revistas.udistrital.edu.co/index.php/visele/article/view/9873. Acesso em: 28 nov. 2021.

Chicago

Saenz, Jose Gabriel, Luz Helena Camargo, y Esperanza Camargo. 2014. «Color descriptors for cytology smear images analysis». Visión electrónica 8 (2):67-73. https://doi.org/10.14483/22484728.9873.

Harvard

Saenz, J. G., Camargo, L. H. y Camargo, E. (2014) «Color descriptors for cytology smear images analysis», Visión electrónica, 8(2), pp. 67–73. doi: 10.14483/22484728.9873.

IEEE

[1]
J. G. Saenz, L. H. Camargo, y E. Camargo, «Color descriptors for cytology smear images analysis», Vis. Electron., vol. 8, n.º 2, pp. 67–73, dic. 2014.

MLA

Saenz, J. G., L. H. Camargo, y E. Camargo. «Color descriptors for cytology smear images analysis». Visión electrónica, vol. 8, n.º 2, diciembre de 2014, pp. 67-73, doi:10.14483/22484728.9873.

Turabian

Saenz, Jose Gabriel, Luz Helena Camargo, y Esperanza Camargo. «Color descriptors for cytology smear images analysis». Visión electrónica 8, no. 2 (diciembre 31, 2014): 67–73. Accedido noviembre 28, 2021. https://revistas.udistrital.edu.co/index.php/visele/article/view/9873.

Vancouver

1.
Saenz JG, Camargo LH, Camargo E. Color descriptors for cytology smear images analysis. Vis. Electron. [Internet]. 31 de diciembre de 2014 [citado 28 de noviembre de 2021];8(2):67-73. Disponible en: https://revistas.udistrital.edu.co/index.php/visele/article/view/9873

Descargar cita

Visitas

315

Dimensions


PlumX


Descargas

Los datos de descargas todavía no están disponibles.