Discriminating oral squamous cell carcinoma via µFTIR spectroscopy imaging and tree-based models

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dc.contributor.authorPERES, DANIELLA L.
dc.contributor.authorSILVA, DANIELA T. da
dc.contributor.authorFELIPE, JOAQUIM C.
dc.contributor.authorCORREA, LUCIANA
dc.contributor.authorMATOS, LEANDRO L. de
dc.contributor.authorPEREIRA, THIAGO M.
dc.contributor.authorZEZELL, DENISE M.
dc.coverageInternacional
dc.creator.eventoSBFoton International Optics and Photonics Conference (SBFoton IOPC)
dc.date2025
dc.date.accessioned2026-02-23T19:36:58Z
dc.date.available2026-02-23T19:36:58Z
dc.date.eventoSetembro 21-24, 2025
dc.description.abstractThis study evaluates the classification of oral squamous cell carcinoma (OSCC) using micro-FTIR hyperspectral imaging and two tree-based models: Random Forest and XGBoost. After preprocessing and PCA, class imbalance was addressed with AllKNN and Tomek Links. Both models achieved high accuracy, and key spectral bands-Amide I, II, and III-were consistently highlighted, supporting their relevance in oral cancer detection.
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipInstituto Nacional de Ciência e Tecnologia de Fotônica (INCT-INFO)
dc.description.sponsorshipIDFAPESP: 21/00633-0
dc.description.sponsorshipIDCNPQ: 406761/2022-1
dc.description.sponsorshipIDCAPES: 88887.854461/2023-00
dc.description.sponsorshipIDINCT-INFO: 465763/2014-6
dc.description.sponsorshipIDSisfoton: 440228/2021-2
dc.event.siglaSBFoton IOPC
dc.format.extent1-3
dc.identifier.citationPERES, DANIELLA L.; SILVA, DANIELA T. da; FELIPE, JOAQUIM C.; CORREA, LUCIANA; MATOS, LEANDRO L. de; PEREIRA, THIAGO M.; ZEZELL, DENISE M. Discriminating oral squamous cell carcinoma via µFTIR spectroscopy imaging and tree-based models. In: SBFoton International Optics and Photonics Conference (SBFoton IOPC), 21-24 september, São Pedro, SP. São Pedro: IEEE, 2025. p. 1-3. DOI: <a href="https://dx.doi.org/10.1109/SBFotonIOPC66433.2025.11218421">10.1109/SBFotonIOPC66433.2025.11218421</a>. Disponível em: https://repositorio.ipen.br/handle/123456789/49351.
dc.identifier.doi10.1109/SBFotonIOPC66433.2025.11218421
dc.identifier.orcidhttps://orcid.org/0000-0001-7404-9606
dc.identifier.urihttps://repositorio.ipen.br/handle/123456789/49351
dc.language.isoeng
dc.localPiscataway, Nova Jersey
dc.local.eventoSão Pedro, SP
dc.publisherIEEE
dc.rightsclosedAccess
dc.titleDiscriminating oral squamous cell carcinoma via µFTIR spectroscopy imaging and tree-based models
dc.typeTexto completo de evento
dspace.entity.typePublication
ipen.autorDENISE MARIA ZEZELL
ipen.autorDANIELA DE FATIMA TEIXEIRA DA SILVA
ipen.autorDANIELLA LUMARA PEREIRA MENDES DE OLIVEIRA PERES
ipen.codigoautor693
ipen.codigoautor2524
ipen.codigoautor15977
ipen.contributor.ipenauthorDENISE MARIA ZEZELL
ipen.contributor.ipenauthorDANIELA DE FATIMA TEIXEIRA DA SILVA
ipen.contributor.ipenauthorDANIELLA LUMARA PEREIRA MENDES DE OLIVEIRA PERES
ipen.event.datapadronizada2025
ipen.identifier.ipendoc31562
ipen.type.genreArtigo
relation.isAuthorOfPublicationa565f8ad-3432-4891-98c0-a587f497db21
relation.isAuthorOfPublication1eeb6fee-14be-4973-9dcf-bc2b53a89aff
relation.isAuthorOfPublication37ff5108-e2df-4501-964c-c437c6f9be75
relation.isAuthorOfPublication.latestForDiscoverya565f8ad-3432-4891-98c0-a587f497db21
sigepi.autor.atividadeDENISE MARIA ZEZELL:693:920:N
sigepi.autor.atividadeDANIELA DE FATIMA TEIXEIRA DA SILVA:2524:920:N
sigepi.autor.atividadeDANIELLA LUMARA PEREIRA MENDES DE OLIVEIRA PERES:15977:-1:N

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