Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
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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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 |
format |
article |
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 |
eu_rights_str_mv |
openAccess |
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 |
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reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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Universidade Federal de Minas Gerais (UFMG) |
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Repositório Institucional da UFMG |
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