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Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection

dc.contributor.authorLeon, Raquel
dc.contributor.authorFabelo, Himar
dc.contributor.authorOrtega, Samuel
dc.contributor.authorCruz-Guerrero, Ines A.
dc.contributor.authorCampos-Delgado, Daniel Ulises
dc.contributor.authorSzolna, Adam
dc.contributor.authorPiñeiro, Juan F.
dc.contributor.authorEspino, Carlos
dc.contributor.authorO’Shanahan, Aruma J.
dc.contributor.authorHernandez, Maria
dc.contributor.authorCarrera, David
dc.contributor.authorBisshopp, Sara
dc.contributor.authorSosa, Coralia
dc.contributor.authorBalea-Fernandez, Francisco J.
dc.contributor.authorMorera, Jesus
dc.contributor.authorClavo, Bernardino
dc.contributor.authorCallico, Gustavo M.
dc.date.accessioned2023-12-07T09:14:46Z
dc.date.available2023-12-07T09:14:46Z
dc.date.created2023-12-04T11:04:43Z
dc.date.issued2023
dc.identifier.citationNPJ precision oncology. 2023, 7 (1), .
dc.identifier.issn2397-768X
dc.identifier.urihttps://hdl.handle.net/11250/3106326
dc.language.isoeng
dc.titleHyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
dc.title.alternativeHyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber0
dc.source.volume7
dc.source.journalNPJ precision oncology
dc.source.issue1
dc.identifier.doi10.1038/s41698-023-00475-9
dc.identifier.cristin2208246
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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