Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images

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dc.creatorLuana Aparecida dos Reis
dc.creatorAna Paula Vargas Garcia
dc.creatorEgleidson Frederik do Amaral Gomes
dc.creatorFrancis G. J. Longford
dc.creatorJeremy Graham Frey
dc.creatorGeovanni Dantas Cassali
dc.creatorAna Maria de Paula
dc.date.accessioned2023-03-03T18:58:20Z
dc.date.accessioned2025-09-08T22:59:59Z
dc.date.available2023-03-03T18:58:20Z
dc.date.issued2020
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.description.sponsorshipINCT – Instituto nacional de ciência e tecnologia (Antigo Instituto do Milênio)
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.1364/BOE.400871
dc.identifier.issn2156-7085
dc.identifier.urihttps://hdl.handle.net/1843/50652
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.rightsAcesso Aberto
dc.subjectMicroscopia
dc.subjectCâncer
dc.subjectÓptica não-linear
dc.subject.otherMicroscopy
dc.subject.otherMultiphoton
dc.subject.otherCancer
dc.subject.otherSHG
dc.subject.otherNonlinear optics
dc.titleCanine mammary cancer diagnosis from quantitative properties of nonlinear optical images
dc.typeArtigo de periódico
local.citation.epage6427
local.citation.issue11
local.citation.spage6413
local.citation.volume11
local.description.resumoWe 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.
local.identifier.orcidhttps://orcid.org/0000-0002-0898-6295
local.identifier.orcidhttps://orcid.org/0000-0003-0842-4302
local.identifier.orcidhttps://orcid.org/0000-0002-5650-6743
local.identifier.orcidhttps://orcid.org/0000-0002-8551-5948
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE FÍSICA
local.publisher.initialsUFMG
local.url.externahttps://opg.optica.org/boe/fulltext.cfm?uri=boe-11-11-6413&id=441702

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