Algorithms for automatic segmentation of bovine embryos produced

Detalhes bibliográficos
Autor(a) principal: Melo, D. H.
Data de Publicação: 2014
Outros Autores: Nascimento, Marcelo Zanchetta do, Oliveira, Domingos Lucas Latorre de, Neves, Leandro Alves [UNESP], Annes, K.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://iopscience.iop.org/1742-6596/490/1/012125/
http://hdl.handle.net/11449/122439
Resumo: In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the differents RGB components. After pre-processing step, the thresholding technique based on maximum entropy was applied to separate lipid droplets in the histological slides in different stages: early cleavage, morula and blastocyst. In the postprocessing step, false positives are removed using the connected components technique that identify regions with excess of dye near pellucid zone. The proposed segmentation method was applied in 30 histological images of bovine embryos. Experiments were performed with the images and statistical measures of sensitivity, specificity and accuracy were calculated based on reference images (gold standard). The value of accuracy of the proposed method was 96% with standard deviation of 3%.
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spelling Algorithms for automatic segmentation of bovine embryos producedIn vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the differents RGB components. After pre-processing step, the thresholding technique based on maximum entropy was applied to separate lipid droplets in the histological slides in different stages: early cleavage, morula and blastocyst. In the postprocessing step, false positives are removed using the connected components technique that identify regions with excess of dye near pellucid zone. The proposed segmentation method was applied in 30 histological images of bovine embryos. Experiments were performed with the images and statistical measures of sensitivity, specificity and accuracy were calculated based on reference images (gold standard). The value of accuracy of the proposed method was 96% with standard deviation of 3%.Universidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Ciência da Computação e Estatística, Instituto de Biociências Letras e Ciências Exatas de São José do Rio Preto, São José do Rio Preto, Rua Cristóvão Colombo, 2265, Jardim Nazareth, CEP 15054000, SP, BrasilUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Ciência da Computação e Estatística, Instituto de Biociências Letras e Ciências Exatas de São José do Rio PretoUniversidade Federal do ABC (UFABC)Universidade Federal de Uberlândia (UFU)Universidade Estadual Paulista (Unesp)Melo, D. H.Nascimento, Marcelo Zanchetta doOliveira, Domingos Lucas Latorre deNeves, Leandro Alves [UNESP]Annes, K.2015-04-27T11:55:45Z2015-04-27T11:55:45Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-4application/pdfhttp://iopscience.iop.org/1742-6596/490/1/012125/Journal of Physics. Conference Series, v. 490, 2014.1742-6596http://hdl.handle.net/11449/12243910.1088/1742-6596/490/1/012125ISSN1742-6596-2013-490-012125.pdf21390538148793120000-0001-8580-7054Currículo Lattesreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Physics. Conference Series0,241info:eu-repo/semantics/openAccess2023-11-19T06:08:57Zoai:repositorio.unesp.br:11449/122439Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:06:35.094614Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Algorithms for automatic segmentation of bovine embryos produced
title Algorithms for automatic segmentation of bovine embryos produced
spellingShingle Algorithms for automatic segmentation of bovine embryos produced
Melo, D. H.
title_short Algorithms for automatic segmentation of bovine embryos produced
title_full Algorithms for automatic segmentation of bovine embryos produced
title_fullStr Algorithms for automatic segmentation of bovine embryos produced
title_full_unstemmed Algorithms for automatic segmentation of bovine embryos produced
title_sort Algorithms for automatic segmentation of bovine embryos produced
author Melo, D. H.
author_facet Melo, D. H.
Nascimento, Marcelo Zanchetta do
Oliveira, Domingos Lucas Latorre de
Neves, Leandro Alves [UNESP]
Annes, K.
author_role author
author2 Nascimento, Marcelo Zanchetta do
Oliveira, Domingos Lucas Latorre de
Neves, Leandro Alves [UNESP]
Annes, K.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal do ABC (UFABC)
Universidade Federal de Uberlândia (UFU)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Melo, D. H.
Nascimento, Marcelo Zanchetta do
Oliveira, Domingos Lucas Latorre de
Neves, Leandro Alves [UNESP]
Annes, K.
description In vitro production has been employed in bovine embryos and quantification of lipids is fundamental to understand the metabolism of these embryos. This paper presents a unsupervised segmentation method for histological images of bovine embryos. In this method, the anisotropic filter was used in the differents RGB components. After pre-processing step, the thresholding technique based on maximum entropy was applied to separate lipid droplets in the histological slides in different stages: early cleavage, morula and blastocyst. In the postprocessing step, false positives are removed using the connected components technique that identify regions with excess of dye near pellucid zone. The proposed segmentation method was applied in 30 histological images of bovine embryos. Experiments were performed with the images and statistical measures of sensitivity, specificity and accuracy were calculated based on reference images (gold standard). The value of accuracy of the proposed method was 96% with standard deviation of 3%.
publishDate 2014
dc.date.none.fl_str_mv 2014
2015-04-27T11:55:45Z
2015-04-27T11:55:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://iopscience.iop.org/1742-6596/490/1/012125/
Journal of Physics. Conference Series, v. 490, 2014.
1742-6596
http://hdl.handle.net/11449/122439
10.1088/1742-6596/490/1/012125
ISSN1742-6596-2013-490-012125.pdf
2139053814879312
0000-0001-8580-7054
url http://iopscience.iop.org/1742-6596/490/1/012125/
http://hdl.handle.net/11449/122439
identifier_str_mv Journal of Physics. Conference Series, v. 490, 2014.
1742-6596
10.1088/1742-6596/490/1/012125
ISSN1742-6596-2013-490-012125.pdf
2139053814879312
0000-0001-8580-7054
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Physics. Conference Series
0,241
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-4
application/pdf
dc.source.none.fl_str_mv Currículo Lattes
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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