A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix
16 páginas
- Autores:
-
Botero Rosas, Daniel Alfonso
Murcia Garzón, Cristhian J.
Roa Barrantes, Laura M.
Fuentes, José M.
Leon Ariza, Juan S.
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad de la Sabana
- Repositorio:
- Repositorio Universidad de la Sabana
- Idioma:
- eng
- OAI Identifier:
- oai:intellectum.unisabana.edu.co:10818/35606
- Acceso en línea:
- http://www.scielo.org.co/pdf/recig/v15n19/1900-6586-recig-15-19-00291.pdf
http://hdl.handle.net/10818/35606
- Palabra clave:
- Colposcopy
Cervical vascular patterns
Digital image processing
Human papilloma virus
Uterine cervical cancer
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Botero Rosas, Daniel AlfonsoMurcia Garzón, Cristhian J.Roa Barrantes, Laura M.Fuentes, José M.Leon Ariza, Juan S.5/28/2019 16:412019-05-28T21:41:32Z2017-01Botero-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/10.21830/19006586.771900-6586http://www.scielo.org.co/pdf/recig/v15n19/1900-6586-recig-15-19-00291.pdfhttp://hdl.handle.net/10818/3560616 páginasCancer 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.application/pdfengRevista Científica General José María CórdovaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Revista Científica General José María Córdova, Vol. 15, Núm. 19, pp. 291-306 enero-junio, 2017http://purl.org/coar/access_right/c_abf2Universidad de La SabanaIntellectum Repositorio Universidad de La SabanaColposcopyCervical vascular patternsDigital image processingHuman papilloma virusUterine cervical cancerA novel image processing method for visualizing the vascular pattern of Human Uterine CervixUn nuevo método de procesamiento de imágenes para visualizar el patrón vascular del Cuello Uterino HumanoUne nouvelle méthode de retraitement de l’image pour visualiser le patron vasculaire du col de l’utérus de l’être humainUm novo método de processamento de imagem para visualizar o padrão vascular do colo uterino humanoarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://intellectum.unisabana.edu.co/bitstream/10818/35606/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/35606/3/license.txtf52a2cfd4df262e08e9b300d62c85cabMD5310818/35606oai:intellectum.unisabana.edu.co:10818/356062022-05-10 05:18:40.438Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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 |
| dc.title.es_CO.fl_str_mv |
A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix |
| dc.title.alternative.es_CO.fl_str_mv |
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 |
| title |
A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix |
| spellingShingle |
A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix Colposcopy Cervical vascular patterns Digital image processing Human papilloma virus Uterine cervical cancer |
| 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 |
A novel image processing method for visualizing the vascular pattern of Human Uterine Cervix |
| dc.creator.fl_str_mv |
Botero Rosas, Daniel Alfonso Murcia Garzón, Cristhian J. Roa Barrantes, Laura M. Fuentes, José M. Leon Ariza, Juan S. |
| dc.contributor.author.none.fl_str_mv |
Botero Rosas, Daniel Alfonso Murcia Garzón, Cristhian J. Roa Barrantes, Laura M. Fuentes, José M. Leon Ariza, Juan S. |
| dc.subject.es_CO.fl_str_mv |
Colposcopy Cervical vascular patterns Digital image processing Human papilloma virus Uterine cervical cancer |
| topic |
Colposcopy Cervical vascular patterns Digital image processing Human papilloma virus Uterine cervical cancer |
| description |
16 páginas |
| publishDate |
2017 |
| dc.date.issued.none.fl_str_mv |
2017-01 |
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2019-05-28T21:41:32Z |
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5/28/2019 16:41 |
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article |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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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 |
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1900-6586 |
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http://www.scielo.org.co/pdf/recig/v15n19/1900-6586-recig-15-19-00291.pdf |
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http://hdl.handle.net/10818/35606 |
| identifier_str_mv |
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 |
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http://www.scielo.org.co/pdf/recig/v15n19/1900-6586-recig-15-19-00291.pdf http://hdl.handle.net/10818/35606 |
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eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 International |
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Revista Científica General José María Córdova, Vol. 15, Núm. 19, pp. 291-306 enero-junio, 2017 |
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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 http://purl.org/coar/access_right/c_abf2 |
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