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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/76314
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dc.contributor.authorSuzuki, Celso T. N.-
dc.contributor.authorGomes, Jancarlo F.-
dc.contributor.authorFalcao, Alexandre X.-
dc.contributor.authorShimizu, Sumie H.-
dc.contributor.authorPapa, João Paulo-
dc.date.accessioned2014-05-27T11:30:13Z-
dc.date.accessioned2016-10-25T18:52:49Z-
dc.date.available2014-05-27T11:30:13Z-
dc.date.available2016-10-25T18:52:49Z-
dc.date.issued2013-08-22-
dc.identifierhttp://dx.doi.org/10.1109/ISBI.2013.6556511-
dc.identifier.citationProceedings - International Symposium on Biomedical Imaging, p. 460-463.-
dc.identifier.issn1945-7928-
dc.identifier.issn1945-8452-
dc.identifier.urihttp://hdl.handle.net/11449/76314-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/76314-
dc.description.abstractIntestinal parasitosis constitutes a serious health problem in most tropical countries. The diagnosis of enteroparasites in laboratory routine relies on the examination of stool samples using optical microscopy and the error rates usually range from moderate to high. Approaches based on automatic image analysis have been proposed, but the methods are usually specific for some species, some of them are computationally expensive, and image acquisition and focus are manual. We present a solution to automate the diagnosis of the 15 most common species of enteroparasites in Brazil, using a sensitive parasitological technique, a motorized microscope with digital camera for automatic image acquisition and focus, and fast image analysis methods. The results indicate that our solution is effective and suitable for laboratory routine, in which the exam must be concluded in a few minutes. © 2013 IEEE.en
dc.format.extent460-463-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAutomated diagnosis-
dc.subjectimage segmentation-
dc.subjectintestinal parasitosis-
dc.subjectmicroscopy image analysis-
dc.subjectpattern recognition-
dc.subjectAutomatic image analysis-
dc.subjectCommon species-
dc.subjectImage analysis method-
dc.subjectIntestinal parasites-
dc.subjectMicroscopy image analysis-
dc.subjectTropical countries-
dc.subjectImage acquisition-
dc.subjectImage analysis-
dc.subjectImage segmentation-
dc.subjectMedical imaging-
dc.subjectOptical microscopy-
dc.subjectPattern recognition-
dc.subjectOptical data storage-
dc.titleAutomated diagnosis of human intestinal parasites using optical microscopy imagesen
dc.typeoutro-
dc.contributor.institutionIMMUNOCAMP Pesquisa e Desenvolvimento de Tecnologia-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationIMMUNOCAMP Pesquisa e Desenvolvimento de Tecnologia, Campinas, SP-
dc.description.affiliationInstitute of Computing University of Campinas, SP-
dc.description.affiliationFaculty of Pharmaceutical Science University of São Paulo-
dc.description.affiliationComputer Science Department São Paulo State University-
dc.description.affiliationUnespComputer Science Department São Paulo State University-
dc.identifier.doi10.1109/ISBI.2013.6556511-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofProceedings - International Symposium on Biomedical Imaging-
dc.identifier.scopus2-s2.0-84881627920-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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