Unsupervised method for normalization of hematoxylin-eosin stain in histological images
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.compmedimag.2019.101646 http://hdl.handle.net/11449/196279 |
Resumo: | Histological images stained with hematoxylin-eosin are widely used by pathologists for cancer diagnosis. However, these images can have color variations that highly influence the histological image processing techniques. To deal with this potential limitation, normalization methods are useful for color correction. In this paper, a histological image color normalization is presented by considering the biological and hematoxylin-eosin properties. To this end, the stain representation of a reference image was applied in place of the original images representation, allowing the preservation of histological structures. This proposal was evaluated on histological images with great variations of contrast, and both visual and quantitative analyzes yielded promising results. (C) 2019 Elsevier Ltd. All rights reserved. |
id |
UNSP_49745255d033a45a789c254f8cc86bf1 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/196279 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Unsupervised method for normalization of hematoxylin-eosin stain in histological imagesHistopathological image analysisNormalizationSpectral matchingSparse non-negative matrix factorizationHistological images stained with hematoxylin-eosin are widely used by pathologists for cancer diagnosis. However, these images can have color variations that highly influence the histological image processing techniques. To deal with this potential limitation, normalization methods are useful for color correction. In this paper, a histological image color normalization is presented by considering the biological and hematoxylin-eosin properties. To this end, the stain representation of a reference image was applied in place of the original images representation, allowing the preservation of histological structures. This proposal was evaluated on histological images with great variations of contrast, and both visual and quantitative analyzes yielded promising results. (C) 2019 Elsevier Ltd. All rights reserved.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)Fed Univ ABC, Ctr Math Comp & Cognit, Av Estados 5001, BR-09210580 Santo Andre, SP, BrazilUniv Fed Uberlandia, Inst Biomed Sci, Dept Histol & Morphol, Av Amazonas S-N, BR-38405320 Uberlandia, MG, BrazilUniv Uberaba, Sch Dent, Av Nene Sabino 1801, BR-38055500 Uberaba, MG, BrazilSao Paulo State Univ, Dept Comp Sci & Stat, R Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilUniv Fed Uberlandia, Fac Comp Sci, Av Joao Naves de Avila 2121, BR-38400902 Uberlandia, MG, BrazilFed Inst Triangulo Mineiro, R Belarmino Vilela Junqueira S-N, BR-38305200 Ituiutaba, MG, BrazilSao Paulo State Univ, Dept Comp Sci & Stat, R Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilCAPES: 001CNPq: 427114/2016-0CNPq: 304848/2018-2CNPq: 430965/2018-4CNPq: 313365/2018-0FAPEMIG: APQ-00578-18CAPES: 1575210Elsevier B.V.Fed Univ ABCUniversidade Federal de Uberlândia (UFU)Univ UberabaUniversidade Estadual Paulista (Unesp)Fed Inst Triangulo MineiroAzevedo Tosta, Thaina A.Faria, Paulo Rogerio deSilva Servato, Joao PauloNeves, Leandro Alves [UNESP]Roberto, Guilherme FreireMartins, Alessandro SantanaNascimento, Marcelo Zanchetta do2020-12-10T19:39:31Z2020-12-10T19:39:31Z2019-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7http://dx.doi.org/10.1016/j.compmedimag.2019.101646Computerized Medical Imaging And Graphics. Oxford: Pergamon-elsevier Science Ltd, v. 77, 7 p., 2019.0895-6111http://hdl.handle.net/11449/19627910.1016/j.compmedimag.2019.101646WOS:000493216400004Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputerized Medical Imaging And Graphicsinfo:eu-repo/semantics/openAccess2021-10-23T06:44:56Zoai:repositorio.unesp.br:11449/196279Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:04:41.571691Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
title |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
spellingShingle |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images Azevedo Tosta, Thaina A. Histopathological image analysis Normalization Spectral matching Sparse non-negative matrix factorization |
title_short |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
title_full |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
title_fullStr |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
title_full_unstemmed |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
title_sort |
Unsupervised method for normalization of hematoxylin-eosin stain in histological images |
author |
Azevedo Tosta, Thaina A. |
author_facet |
Azevedo Tosta, Thaina A. Faria, Paulo Rogerio de Silva Servato, Joao Paulo Neves, Leandro Alves [UNESP] Roberto, Guilherme Freire Martins, Alessandro Santana Nascimento, Marcelo Zanchetta do |
author_role |
author |
author2 |
Faria, Paulo Rogerio de Silva Servato, Joao Paulo Neves, Leandro Alves [UNESP] Roberto, Guilherme Freire Martins, Alessandro Santana Nascimento, Marcelo Zanchetta do |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Fed Univ ABC Universidade Federal de Uberlândia (UFU) Univ Uberaba Universidade Estadual Paulista (Unesp) Fed Inst Triangulo Mineiro |
dc.contributor.author.fl_str_mv |
Azevedo Tosta, Thaina A. Faria, Paulo Rogerio de Silva Servato, Joao Paulo Neves, Leandro Alves [UNESP] Roberto, Guilherme Freire Martins, Alessandro Santana Nascimento, Marcelo Zanchetta do |
dc.subject.por.fl_str_mv |
Histopathological image analysis Normalization Spectral matching Sparse non-negative matrix factorization |
topic |
Histopathological image analysis Normalization Spectral matching Sparse non-negative matrix factorization |
description |
Histological images stained with hematoxylin-eosin are widely used by pathologists for cancer diagnosis. However, these images can have color variations that highly influence the histological image processing techniques. To deal with this potential limitation, normalization methods are useful for color correction. In this paper, a histological image color normalization is presented by considering the biological and hematoxylin-eosin properties. To this end, the stain representation of a reference image was applied in place of the original images representation, allowing the preservation of histological structures. This proposal was evaluated on histological images with great variations of contrast, and both visual and quantitative analyzes yielded promising results. (C) 2019 Elsevier Ltd. All rights reserved. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-01 2020-12-10T19:39:31Z 2020-12-10T19:39:31Z |
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://dx.doi.org/10.1016/j.compmedimag.2019.101646 Computerized Medical Imaging And Graphics. Oxford: Pergamon-elsevier Science Ltd, v. 77, 7 p., 2019. 0895-6111 http://hdl.handle.net/11449/196279 10.1016/j.compmedimag.2019.101646 WOS:000493216400004 |
url |
http://dx.doi.org/10.1016/j.compmedimag.2019.101646 http://hdl.handle.net/11449/196279 |
identifier_str_mv |
Computerized Medical Imaging And Graphics. Oxford: Pergamon-elsevier Science Ltd, v. 77, 7 p., 2019. 0895-6111 10.1016/j.compmedimag.2019.101646 WOS:000493216400004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Computerized Medical Imaging And Graphics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
7 |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science 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 |
|
_version_ |
1808128312261738496 |