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Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/13811
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DC FieldValueLanguage
dc.contributor.authorVicenzo Abichequer-
dc.contributor.authorFelipe Lammel-
dc.contributor.authorMárcio Sarroglia Pinho-
dc.contributor.authorIsabel Harb Manssour-
dc.date.accessioned2019-02-04T11:56:05Z-
dc.date.available2019-02-04T11:56:05Z-
dc.date.issued2017-
dc.identifier.isbn9781450344869-
dc.identifier.urihttp://hdl.handle.net/10923/13811-
dc.language.isopt_BR-
dc.relation.ispartofProceedings of the Symposium on Applied Computing (SAC'17), 2017, Brasil.-
dc.rightsopenAccess-
dc.subjectImage Processing-
dc.subjectComputer Vision-
dc.subjectUrinalysis-
dc.subjectCystine Crystals-
dc.titleAn automatic method for identification of cystine crystals in urine sediment-
dc.typeconferenceObject-
dc.date.updated2019-02-04T11:56:05Z-
Appears in Collections:Apresentação em Evento

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