Identification of basal cell carcinoma skin cancer using FTIR and Machine learning

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dc.contributor.authorPERES, DANIELLA L.pt_BR
dc.contributor.authorFAROOQ, SAJIDpt_BR
dc.contributor.authorRAFFAELI, ROCIOpt_BR
dc.contributor.authorCROCE, MARIA V.pt_BR
dc.contributor.authorCROCE, ADELA E.pt_BR
dc.contributor.authorZEZELL, DENISE M.pt_BR
dc.coverageInternacionalpt_BR
dc.creator.eventoINTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS; SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCEpt_BR
dc.date.accessioned2024-02-08T14:55:59Z
dc.date.available2024-02-08T14:55:59Z
dc.date.eventoJuly 31 - August 3, 2023pt_BR
dc.description.abstractHere we applied ATR-FTIR spectroscopy combined with computational modeling based on 3D-discriminant analysis (3D-PCA-QDA). Our results present an exceptional performance of 3D-discriminant algorithms to diagnose BCC skin cancer, indicating the accuracy up to 99%.pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipIDCNPq: INCT-INTERAS 406761/2022-1; INCT-INFO 465763/2014-6; Sisfoton 440228/2021-2; PQ 314517/2021-9pt_BR
dc.description.sponsorshipIDCAPES: 001pt_BR
dc.description.sponsorshipIDFAPESP: 17/50332-0; 21/00633-0pt_BR
dc.event.siglaOMN; SBFoton IOPCpt_BR
dc.identifier.citationPERES, DANIELLA L.; FAROOQ, SAJID; RAFFAELI, ROCIO; CROCE, MARIA V.; CROCE, ADELA E.; ZEZELL, DENISE M. Identification of basal cell carcinoma skin cancer using FTIR and Machine learning. In: INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS; SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, July 31 - August 3, 2023, Campinas, SP. <b>Proceedings...</b> Piscataway, NJ, USA: IEEE, 2023. DOI: <a href="https://dx.doi.org/10.1109/OMN/SBFOTONIOPC58971.2023.10230945">10.1109/OMN/SBFOTONIOPC58971.2023.10230945</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/34581.
dc.identifier.doi10.1109/OMN/SBFOTONIOPC58971.2023.10230945pt_BR
dc.identifier.orcid0000-0001-7404-9606pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7404-9606
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/34581
dc.localPiscataway, NJ, USApt_BR
dc.local.eventoCampinas, SPpt_BR
dc.publisherIEEEpt_BR
dc.rightsopenAccesspt_BR
dc.subjectfourier transformation
dc.subjectinfrared spectra
dc.subjectmachine learning
dc.subjectskin
dc.subjectneoplasms
dc.subjectepitheliomas
dc.subjectdiagnosis
dc.subjectaccuracy
dc.subjectmelanomas
dc.titleIdentification of basal cell carcinoma skin cancer using FTIR and Machine learningpt_BR
dc.typeTexto completo de eventopt_BR
dspace.entity.typePublication
ipen.autorDANIELLA LUMARA PEREIRA MENDES DE OLIVEIRA PERES
ipen.autorSAJID FAROOQ
ipen.autorDENISE MARIA ZEZELL
ipen.codigoautor15977
ipen.codigoautor15722
ipen.codigoautor693
ipen.contributor.ipenauthorDANIELLA LUMARA PEREIRA MENDES DE OLIVEIRA PERES
ipen.contributor.ipenauthorSAJID FAROOQ
ipen.contributor.ipenauthorDENISE MARIA ZEZELL
ipen.date.recebimento24-02
ipen.event.datapadronizada2023pt_BR
ipen.identifier.ipendoc30188pt_BR
ipen.identifier.ods3
ipen.notas.internasProceedingspt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublication37ff5108-e2df-4501-964c-c437c6f9be75
relation.isAuthorOfPublication60d3fba4-40e1-482c-9eda-4530bc63fecb
relation.isAuthorOfPublicationa565f8ad-3432-4891-98c0-a587f497db21
relation.isAuthorOfPublication.latestForDiscovery37ff5108-e2df-4501-964c-c437c6f9be75
sigepi.autor.atividadeZEZELL, DENISE M.:693:920:Npt_BR
sigepi.autor.atividadeFAROOQ, SAJID:15722:920:Npt_BR
sigepi.autor.atividadePERES, DANIELLA L.:15977:-1:Spt_BR

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