Towards Automatic Polyp Detection with a Polyp Appearance Model

This work aims at automatic polyp detection by using a model of polyp appearance in the context of the analysis of colonoscopy videos. Our method consists of three stages: region segmentation, region description and region classification. The performance of our region segmentation method guarantees...

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Detalhes bibliográficos
Autores: Bernal del Nozal, Jorge|||0000-0001-8493-9514, Sánchez, F. Javier|||0000-0002-9364-3122, Vilariño, Fernando|||0000-0002-7705-4141
Formato: artículo
Fecha de publicación:2012
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:326628
Acesso em linha:https://ddd.uab.cat/record/326628
https://dx.doi.org/urn:doi:10.1016/j.patcog.2012.03.002
Access Level:acceso abierto
Palavra-chave:Colonoscopy
Polyp detection
Region segmentation
SA-DOVA descriptor
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spelling Towards Automatic Polyp Detection with a Polyp Appearance ModelBernal del Nozal, Jorge|||0000-0001-8493-9514Sánchez, F. Javier|||0000-0002-9364-3122Vilariño, Fernando|||0000-0002-7705-4141ColonoscopyPolyp detectionRegion segmentationSA-DOVA descriptorThis work aims at automatic polyp detection by using a model of polyp appearance in the context of the analysis of colonoscopy videos. Our method consists of three stages: region segmentation, region description and region classification. The performance of our region segmentation method guarantees that if a polyp is present in the image, it will be exclusively and totally contained in a single region. The output of the algorithm also defines which regions can be considered as non-informative. We define as our region descriptor the novel Sector Accumulation-Depth of Valleys Accumulation (SA-DOVA), which provides a necessary but not sufficient condition for the polyp presence. Finally, we classify our segmented regions according to the maximal values of the SA-DOVA descriptor. Our preliminary classification results are promising, especially when classifying those parts of the image that do not contain a polyp inside. 22012-01-0120122012-01-01Articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/326628https://dx.doi.org/urn:doi:10.1016/j.patcog.2012.03.002reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengMinisterio de Ciencia e Innovación https://doi.org/10.13039/501100004837 TIN2009-10435Ministerio de Educación y Ciencia CSD2007-00018open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3266282026-06-06T12:50:31Z
dc.title.none.fl_str_mv Towards Automatic Polyp Detection with a Polyp Appearance Model
title Towards Automatic Polyp Detection with a Polyp Appearance Model
spellingShingle Towards Automatic Polyp Detection with a Polyp Appearance Model
Bernal del Nozal, Jorge|||0000-0001-8493-9514
Colonoscopy
Polyp detection
Region segmentation
SA-DOVA descriptor
title_short Towards Automatic Polyp Detection with a Polyp Appearance Model
title_full Towards Automatic Polyp Detection with a Polyp Appearance Model
title_fullStr Towards Automatic Polyp Detection with a Polyp Appearance Model
title_full_unstemmed Towards Automatic Polyp Detection with a Polyp Appearance Model
title_sort Towards Automatic Polyp Detection with a Polyp Appearance Model
dc.creator.none.fl_str_mv Bernal del Nozal, Jorge|||0000-0001-8493-9514
Sánchez, F. Javier|||0000-0002-9364-3122
Vilariño, Fernando|||0000-0002-7705-4141
author Bernal del Nozal, Jorge|||0000-0001-8493-9514
author_facet Bernal del Nozal, Jorge|||0000-0001-8493-9514
Sánchez, F. Javier|||0000-0002-9364-3122
Vilariño, Fernando|||0000-0002-7705-4141
author_role author
author2 Sánchez, F. Javier|||0000-0002-9364-3122
Vilariño, Fernando|||0000-0002-7705-4141
author2_role author
author
dc.subject.none.fl_str_mv Colonoscopy
Polyp detection
Region segmentation
SA-DOVA descriptor
topic Colonoscopy
Polyp detection
Region segmentation
SA-DOVA descriptor
description This work aims at automatic polyp detection by using a model of polyp appearance in the context of the analysis of colonoscopy videos. Our method consists of three stages: region segmentation, region description and region classification. The performance of our region segmentation method guarantees that if a polyp is present in the image, it will be exclusively and totally contained in a single region. The output of the algorithm also defines which regions can be considered as non-informative. We define as our region descriptor the novel Sector Accumulation-Depth of Valleys Accumulation (SA-DOVA), which provides a necessary but not sufficient condition for the polyp presence. Finally, we classify our segmented regions according to the maximal values of the SA-DOVA descriptor. Our preliminary classification results are promising, especially when classifying those parts of the image that do not contain a polyp inside.
publishDate 2012
dc.date.none.fl_str_mv 2
2012-01-01
2012
2012-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/326628
https://dx.doi.org/urn:doi:10.1016/j.patcog.2012.03.002
url https://ddd.uab.cat/record/326628
https://dx.doi.org/urn:doi:10.1016/j.patcog.2012.03.002
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Ciencia e Innovación https://doi.org/10.13039/501100004837 TIN2009-10435
Ministerio de Educación y Ciencia CSD2007-00018
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
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