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Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/17278
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dc.contributor.authorDE MOURA, LUÍS VINÍCIUS-
dc.contributor.authorDARTORA, CAROLINE MACHADO-
dc.contributor.authorAna Maria Marques da Silva-
dc.date.accessioned2021-06-02T17:22:47Z-
dc.date.available2021-06-02T17:22:47Z-
dc.date.issued2019-
dc.identifier.issn1984-9001-
dc.identifier.urihttps://hdl.handle.net/10923/17278-
dc.language.isopt_BR-
dc.relation.ispartofREVISTA BRASILEIRA DE FÍSICA MÉDICA (ONLINE)-
dc.rightsopenAccess-
dc.subjectradiomics-
dc.subjectclassification-
dc.subjectmedical imaging-
dc.subjectartificial intelligence-
dc.titleLung nodules classification in CT images using texture descriptors-
dc.typeArticle-
dc.date.updated2021-06-02T17:22:46Z-
dc.identifier.doiDOI:10.29384/rbfm.2019.v13.n3.p38-42-
dc.jtitleREVISTA BRASILEIRA DE FÍSICA MÉDICA (ONLINE)-
dc.volume13-
dc.issue3-
dc.spage38-
dc.epage42-
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