Machine Learning methods for micro-FTIR imaging classification of human skin tumors
dc.contributor.author | DEL VALLE, MATHEUS | pt_BR |
dc.contributor.author | STANCARI, KLEBER | pt_BR |
dc.contributor.author | CASTRO, PEDRO A.A. de | pt_BR |
dc.contributor.author | SANTOS, MOISES O. dos | pt_BR |
dc.contributor.author | ZEZELL, DENISE M. | pt_BR |
dc.coverage | Internacional | pt_BR |
dc.creator.evento | SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE | pt_BR |
dc.date.accessioned | 2021-11-12T13:28:47Z | |
dc.date.available | 2021-11-12T13:28:47Z | |
dc.date.evento | May 31 - June 2, 2021 | pt_BR |
dc.description.abstract | This review presents some methods applied to micro-FTIR imaging for classification of human skin tumors. It is a collection of the pre-processing pipeline and machine learning classification models. The aim of this review is to update and summaiize the current methods which an applied in our skin tumor research. | pt_BR |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | pt_BR |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | pt_BR |
dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | pt_BR |
dc.description.sponsorshipID | FAPESP: 05/51689-2; 17/50332-0; 13/26113-6 | pt_BR |
dc.description.sponsorshipID | CNPq: INCT 465763/2014-6; PQ 309902/2017-7 | pt_BR |
dc.description.sponsorshipID | CAPES: PROCAD 88881.068505/2014-01 | pt_BR |
dc.event.sigla | SBFOTON IOPC | pt_BR |
dc.identifier.citation | DEL VALLE, MATHEUS; STANCARI, KLEBER; CASTRO, PEDRO A.A. de; SANTOS, MOISES O. dos; ZEZELL, DENISE M. Machine Learning methods for micro-FTIR imaging classification of human skin tumors. In: SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, May 31 - June 2, 2021, Online. <b>Proceedings...</b> Piscataway, NJ, USA: IEEE, 2021. DOI: <a href="https://dx.doi.org/10.1109/SBFotonIOPC50774.2021.9461969">10.1109/SBFotonIOPC50774.2021.9461969</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/32339. | |
dc.identifier.doi | 10.1109/SBFotonIOPC50774.2021.9461969 | pt_BR |
dc.identifier.orcid | 0000-0001-7404-9606 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-7404-9606 | |
dc.identifier.uri | http://repositorio.ipen.br/handle/123456789/32339 | |
dc.local | Piscataway, NJ, USA | pt_BR |
dc.local.evento | Online | pt_BR |
dc.publisher | IEEE | pt_BR |
dc.rights | openAccess | pt_BR |
dc.subject | skin diseases | |
dc.subject | tumor cells | |
dc.subject | infrared radiation | |
dc.subject | fourier transformation | |
dc.subject | machine learning | |
dc.subject | spectra | |
dc.title | Machine Learning methods for micro-FTIR imaging classification of human skin tumors | pt_BR |
dc.type | Texto completo de evento | pt_BR |
dspace.entity.type | Publication | |
ipen.autor | KLEBER ADRIANI STANCARI | |
ipen.autor | DENISE MARIA ZEZELL | |
ipen.autor | MOISES OLIVEIRA DOS SANTOS | |
ipen.autor | PEDRO ARTHUR AUGUSTO DE CASTRO | |
ipen.autor | MATHEUS DEL VALLE | |
ipen.codigoautor | 15402 | |
ipen.codigoautor | 693 | |
ipen.codigoautor | 8411 | |
ipen.codigoautor | 12053 | |
ipen.codigoautor | 15209 | |
ipen.contributor.ipenauthor | KLEBER ADRIANI STANCARI | |
ipen.contributor.ipenauthor | DENISE MARIA ZEZELL | |
ipen.contributor.ipenauthor | MOISES OLIVEIRA DOS SANTOS | |
ipen.contributor.ipenauthor | PEDRO ARTHUR AUGUSTO DE CASTRO | |
ipen.contributor.ipenauthor | MATHEUS DEL VALLE | |
ipen.date.recebimento | 21-11 | |
ipen.event.datapadronizada | 2021 | pt_BR |
ipen.identifier.ipendoc | 28107 | pt_BR |
ipen.notas.internas | Proceedings | pt_BR |
ipen.type.genre | Artigo | |
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sigepi.autor.atividade | ZEZELL, DENISE M.:693:920:N | pt_BR |
sigepi.autor.atividade | SANTOS, MOISES O. dos:8411:920:N | pt_BR |
sigepi.autor.atividade | CASTRO, PEDRO A.A. de:12053:930:N | pt_BR |
sigepi.autor.atividade | STANCARI, KLEBER:15402:920:N | pt_BR |
sigepi.autor.atividade | DEL VALLE, MATHEUS:15209:920:S | pt_BR |