Performance analysis of software for identification of intestinal parasites

Detalhes bibliográficos
Autor(a) principal: Gomes,Andressa P.
Data de Publicação: 2015
Outros Autores: Noguerol,Luana, Bez,Marta R., Tavares,Rejane G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Jornal Brasileiro de Patologia e Medicina Laboratorial (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-24442015000400218
Resumo: ABSTRACTIntroduction:Intestinal parasites are among the most frequent diagnoses worldwide. An accurate clinical diagnosis of human parasitic infections depends on laboratory confirmation for specific differentiation of the infectious agent.Objectives:To create technological solutions to help parasitological diagnosis, through construction and use of specific software.Material and method:From the images obtained from the sediment, the software compares the morphometry, area, perimeter and circularity, and uses the information on specific morphological and staining characteristics of parasites and allows the potential identification of parasites.RESULTS:Our results demonstrate satisfactory performance, from a total of 204 images analyzed, 81.86% had the parasite correctly identified by the computer system, and 18.13% could not be identified, due to the large amount of fecal debris in the sample evaluated.Discussion:Currently the techniques used in Parasitology area are predominantly manual, probably being affected by variables, such as attention and experience of the professional. Therefore, the use of computerization in this sector can improve the performance of parasitological analysis.Conclusions:This work contributes to the computerization of healthcare area, and benefits both health professionals and their patients, in addition to provide a more efficient, accurate and secure diagnosis.
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spelling Performance analysis of software for identification of intestinal parasitessoftwareimagesparasitological diagnosisHPJTrichuris trichiuraAscaris lumbricoidesABSTRACTIntroduction:Intestinal parasites are among the most frequent diagnoses worldwide. An accurate clinical diagnosis of human parasitic infections depends on laboratory confirmation for specific differentiation of the infectious agent.Objectives:To create technological solutions to help parasitological diagnosis, through construction and use of specific software.Material and method:From the images obtained from the sediment, the software compares the morphometry, area, perimeter and circularity, and uses the information on specific morphological and staining characteristics of parasites and allows the potential identification of parasites.RESULTS:Our results demonstrate satisfactory performance, from a total of 204 images analyzed, 81.86% had the parasite correctly identified by the computer system, and 18.13% could not be identified, due to the large amount of fecal debris in the sample evaluated.Discussion:Currently the techniques used in Parasitology area are predominantly manual, probably being affected by variables, such as attention and experience of the professional. Therefore, the use of computerization in this sector can improve the performance of parasitological analysis.Conclusions:This work contributes to the computerization of healthcare area, and benefits both health professionals and their patients, in addition to provide a more efficient, accurate and secure diagnosis.Sociedade Brasileira de Patologia Clínica2015-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-24442015000400218Jornal Brasileiro de Patologia e Medicina Laboratorial v.51 n.4 2015reponame:Jornal Brasileiro de Patologia e Medicina Laboratorial (Online)instname:Sociedade Brasileira de Patologia (SBP)instacron:SBP10.5935/1676-2444.20150036info:eu-repo/semantics/openAccessGomes,Andressa P.Noguerol,LuanaBez,Marta R.Tavares,Rejane G.eng2015-09-11T00:00:00Zoai:scielo:S1676-24442015000400218Revistahttp://www.scielo.br/jbpmlhttps://old.scielo.br/oai/scielo-oai.php||jbpml@sbpc.org.br1678-47741676-2444opendoar:2015-09-11T00:00Jornal Brasileiro de Patologia e Medicina Laboratorial (Online) - Sociedade Brasileira de Patologia (SBP)false
dc.title.none.fl_str_mv Performance analysis of software for identification of intestinal parasites
title Performance analysis of software for identification of intestinal parasites
spellingShingle Performance analysis of software for identification of intestinal parasites
Gomes,Andressa P.
software
images
parasitological diagnosis
HPJ
Trichuris trichiura
Ascaris lumbricoides
title_short Performance analysis of software for identification of intestinal parasites
title_full Performance analysis of software for identification of intestinal parasites
title_fullStr Performance analysis of software for identification of intestinal parasites
title_full_unstemmed Performance analysis of software for identification of intestinal parasites
title_sort Performance analysis of software for identification of intestinal parasites
author Gomes,Andressa P.
author_facet Gomes,Andressa P.
Noguerol,Luana
Bez,Marta R.
Tavares,Rejane G.
author_role author
author2 Noguerol,Luana
Bez,Marta R.
Tavares,Rejane G.
author2_role author
author
author
dc.contributor.author.fl_str_mv Gomes,Andressa P.
Noguerol,Luana
Bez,Marta R.
Tavares,Rejane G.
dc.subject.por.fl_str_mv software
images
parasitological diagnosis
HPJ
Trichuris trichiura
Ascaris lumbricoides
topic software
images
parasitological diagnosis
HPJ
Trichuris trichiura
Ascaris lumbricoides
description ABSTRACTIntroduction:Intestinal parasites are among the most frequent diagnoses worldwide. An accurate clinical diagnosis of human parasitic infections depends on laboratory confirmation for specific differentiation of the infectious agent.Objectives:To create technological solutions to help parasitological diagnosis, through construction and use of specific software.Material and method:From the images obtained from the sediment, the software compares the morphometry, area, perimeter and circularity, and uses the information on specific morphological and staining characteristics of parasites and allows the potential identification of parasites.RESULTS:Our results demonstrate satisfactory performance, from a total of 204 images analyzed, 81.86% had the parasite correctly identified by the computer system, and 18.13% could not be identified, due to the large amount of fecal debris in the sample evaluated.Discussion:Currently the techniques used in Parasitology area are predominantly manual, probably being affected by variables, such as attention and experience of the professional. Therefore, the use of computerization in this sector can improve the performance of parasitological analysis.Conclusions:This work contributes to the computerization of healthcare area, and benefits both health professionals and their patients, in addition to provide a more efficient, accurate and secure diagnosis.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-24442015000400218
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1676-2444.20150036
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv
Sociedade Brasileira de Patologia Clínica
publisher.none.fl_str_mv
Sociedade Brasileira de Patologia Clínica
dc.source.none.fl_str_mv Jornal Brasileiro de Patologia e Medicina Laboratorial v.51 n.4 2015
reponame:Jornal Brasileiro de Patologia e Medicina Laboratorial (Online)
instname:Sociedade Brasileira de Patologia (SBP)
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reponame_str Jornal Brasileiro de Patologia e Medicina Laboratorial (Online)
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