Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images

Detalhes bibliográficos
Autor(a) principal: Luana Aparecida dos Reis
Data de Publicação: 2020
Outros Autores: Ana Paula Vargas Garcia, Egleidson Frederik do Amaral Gomes, Francis G. J. Longford, Jeremy Graham Frey, Geovanni Dantas Cassali, Ana Maria de Paula
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1364/BOE.400871
http://hdl.handle.net/1843/50652
https://orcid.org/0000-0002-0898-6295
https://orcid.org/0000-0003-0842-4302
https://orcid.org/0000-0002-5650-6743
https://orcid.org/0000-0002-8551-5948
Resumo: CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
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spelling 2023-03-03T18:58:20Z2023-03-03T18:58:20Z2020111164136427https://doi.org/10.1364/BOE.4008712156-7085http://hdl.handle.net/1843/50652https://orcid.org/0000-0002-0898-6295https://orcid.org/0000-0003-0842-4302https://orcid.org/0000-0002-5650-6743https://orcid.org/0000-0002-8551-5948CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorINCT – Instituto nacional de ciência e tecnologia (Antigo Instituto do Milênio)We present nonlinear microscopy imaging results and analysis from canine mammary cancer biopsies. Second harmonic generation imaging allows information of the collagen structure in the extracellular matrix that together with the fluorescence of the cell regions of the biopsies form a base for comprehensive image analysis. We demonstrate an automated image analysis method to classify the histological type of canine mammary cancer using a range of parameters extracted from the images. The software developed for image processing and analysis allows for the extraction of the collagen fibre network and the cell regions of the images. Thus, the tissue properties are obtained after the segmentation of the image and the metrics are measured specifically for the collagen and the cell regions. A linear discriminant analysis including all the extracted metrics allowed to clearly separate between the healthy and cancerous tissue with a 91%-accuracy. Also, a 61%-accuracy was achieved for a comparison of healthy and three histological cancer subtypes studied.engUniversidade Federal de Minas GeraisUFMGBrasilICX - DEPARTAMENTO DE FÍSICAMicroscopiaCâncerÓptica não-linearMicroscopyMultiphotonCancerSHGNonlinear opticsCanine mammary cancer diagnosis from quantitative properties of nonlinear optical imagesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://opg.optica.org/boe/fulltext.cfm?uri=boe-11-11-6413&id=441702Luana Aparecida dos ReisAna Paula Vargas GarciaEgleidson Frederik do Amaral GomesFrancis G. J. LongfordJeremy Graham FreyGeovanni Dantas CassaliAna Maria de Paulaapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/50652/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALCanine mammary cancer diagnosis from.pdfCanine mammary cancer diagnosis from.pdfapplication/pdf8286493https://repositorio.ufmg.br/bitstream/1843/50652/2/Canine%20mammary%20cancer%20diagnosis%20from.pdfa665cc7be1a292cf93a32aa94f4dcca7MD521843/506522023-03-03 15:58:21.029oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-03-03T18:58:21Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
title Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
spellingShingle Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
Luana Aparecida dos Reis
Microscopy
Multiphoton
Cancer
SHG
Nonlinear optics
Microscopia
Câncer
Óptica não-linear
title_short Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
title_full Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
title_fullStr Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
title_full_unstemmed Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
title_sort Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
author Luana Aparecida dos Reis
author_facet Luana Aparecida dos Reis
Ana Paula Vargas Garcia
Egleidson Frederik do Amaral Gomes
Francis G. J. Longford
Jeremy Graham Frey
Geovanni Dantas Cassali
Ana Maria de Paula
author_role author
author2 Ana Paula Vargas Garcia
Egleidson Frederik do Amaral Gomes
Francis G. J. Longford
Jeremy Graham Frey
Geovanni Dantas Cassali
Ana Maria de Paula
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Luana Aparecida dos Reis
Ana Paula Vargas Garcia
Egleidson Frederik do Amaral Gomes
Francis G. J. Longford
Jeremy Graham Frey
Geovanni Dantas Cassali
Ana Maria de Paula
dc.subject.por.fl_str_mv Microscopy
Multiphoton
Cancer
SHG
Nonlinear optics
topic Microscopy
Multiphoton
Cancer
SHG
Nonlinear optics
Microscopia
Câncer
Óptica não-linear
dc.subject.other.pt_BR.fl_str_mv Microscopia
Câncer
Óptica não-linear
description CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
publishDate 2020
dc.date.issued.fl_str_mv 2020
dc.date.accessioned.fl_str_mv 2023-03-03T18:58:20Z
dc.date.available.fl_str_mv 2023-03-03T18:58:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/50652
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1364/BOE.400871
dc.identifier.issn.pt_BR.fl_str_mv 2156-7085
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0002-0898-6295
https://orcid.org/0000-0003-0842-4302
https://orcid.org/0000-0002-5650-6743
https://orcid.org/0000-0002-8551-5948
url https://doi.org/10.1364/BOE.400871
http://hdl.handle.net/1843/50652
https://orcid.org/0000-0002-0898-6295
https://orcid.org/0000-0003-0842-4302
https://orcid.org/0000-0002-5650-6743
https://orcid.org/0000-0002-8551-5948
identifier_str_mv 2156-7085
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ICX - DEPARTAMENTO DE FÍSICA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
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