Automated diagnosis of human intestinal parasites using optical microscopy images

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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 [UNESP]
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.date.accessioned2014-05-27T11:30:13Z
dc.date.available2014-05-27T11:30:13Z
dc.date.issued2013-08-22
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.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.format.extent460-463
dc.identifierhttp://dx.doi.org/10.1109/ISBI.2013.6556511
dc.identifier.citationProceedings - International Symposium on Biomedical Imaging, p. 460-463.
dc.identifier.doi10.1109/ISBI.2013.6556511
dc.identifier.issn1945-7928
dc.identifier.issn1945-8452
dc.identifier.lattes9039182932747194
dc.identifier.scopus2-s2.0-84881627920
dc.identifier.urihttp://hdl.handle.net/11449/76314
dc.language.isoeng
dc.relation.ispartofProceedings - International Symposium on Biomedical Imaging
dc.relation.ispartofsjr0,426
dc.rights.accessRightsAcesso aberto
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.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes9039182932747194
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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