A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix

16 páginas

Detalles Bibliográficos
Autores Principales: Botero Rosas, Daniel Alfonso, Murcia Garzón, Cristhian J., Roa Barrantes, Laura M., Fuentes, José M., Leon Ariza, Juan S.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Revista Científica General José María Córdova 5/28
Materias:
Acceso en línea:http://hdl.handle.net/10818/35606
id ir-10818-35606
recordtype dspace
spelling ir-10818-356062022-05-10T10:18:40Z A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix Un nuevo método de procesamiento de imágenes para visualizar el patrón vascular del Cuello Uterino Humano Une nouvelle méthode de retraitement de l’image pour visualiser le patron vasculaire du col de l’utérus de l’être humain Um novo método de processamento de imagem para visualizar o padrão vascular do colo uterino humano Botero Rosas, Daniel Alfonso Murcia Garzón, Cristhian J. Roa Barrantes, Laura M. Fuentes, José M. Leon Ariza, Juan S. Colposcopy Cervical vascular patterns Digital image processing Human papilloma virus Uterine cervical cancer 16 páginas Cancer of the uterine cervix is a public health problem worldwide. Colposcopy is the commonest method employed to visualize human uterine cervix, and to diagnose uterine cervical cancer. When this structure is altered, colposcopy identifies and grades a number of characteristics of the lesions such as sizes, borders, shapes and vascular patterns. However, some drawbacks of the findings obtained by the classical colposcopic method are still unanswered. To improve the quality of the data obtained with colposcopy, selected images of human cervix were studied; further, a novel processing analysis was done using the top-hat and direct threshold methods. The analysis tree included selection of the image, elimination of frequency of oxyhemoglobin absorption, unsharped mask, treatment of specular highlights, filter approach and adjustment of intensity levels. We found that the top-hat method was superior that the direct threshold method to visualize the vascular pattern of human uterine cervix (93,1 % vs 85,1 %; p < 0,05). These findings were unrelated to the filter used. These results may help to increase the likelihood of detecting uterine cervical cancer of humans at earlier stages of the disease than known to date. 5/28/2019 16:41 2019-05-28T21:41:32Z 2017-01 article publishedVersion Botero-Rosas, D. A., Murcia, C. J., Roa, L. M., Fuentes, J. M. & León-Ariza, J. S. (2017, enero-junio). A Novel Image Processing Method for Visualizing the Vascular Pattern of Human Uterine Cérvix. Rev. Cient. Gen. José María Córdova 15(19), 291-306. DOI: http://dx.doi.org/10.21830/19006586.77 1900-6586 http://www.scielo.org.co/pdf/recig/v15n19/1900-6586-recig-15-19-00291.pdf http://hdl.handle.net/10818/35606 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Revista Científica General José María Córdova, Vol. 15, Núm. 19, pp. 291-306 enero-junio, 2017 openAccess application/pdf Revista Científica General José María Córdova Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana https://intellectum.unisabana.edu.co
institution Universidad de La Sabana
collection DSpace
language Inglés (English)
topic Colposcopy
Cervical vascular patterns
Digital image processing
Human papilloma virus
Uterine cervical cancer
spellingShingle Colposcopy
Cervical vascular patterns
Digital image processing
Human papilloma virus
Uterine cervical cancer
Botero Rosas, Daniel Alfonso
Murcia Garzón, Cristhian J.
Roa Barrantes, Laura M.
Fuentes, José M.
Leon Ariza, Juan S.
A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
description 16 páginas
format Artículo (Article)
author Botero Rosas, Daniel Alfonso
Murcia Garzón, Cristhian J.
Roa Barrantes, Laura M.
Fuentes, José M.
Leon Ariza, Juan S.
author_facet Botero Rosas, Daniel Alfonso
Murcia Garzón, Cristhian J.
Roa Barrantes, Laura M.
Fuentes, José M.
Leon Ariza, Juan S.
author_sort Botero Rosas, Daniel Alfonso
title A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
title_short A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
title_full A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
title_fullStr A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
title_full_unstemmed A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
title_sort novel image processing method for visualizing the vascular pattern of human uterine cervix
publisher Revista Científica General José María Córdova
publishDate 5/28
url http://hdl.handle.net/10818/35606
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score 12,131701