Performance analysis of software for identification of intestinal parasites
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-24442015000400218 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-24442015000400218 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1676-2444.20150036 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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) instacron:SBP |
instname_str |
Sociedade Brasileira de Patologia (SBP) |
instacron_str |
SBP |
institution |
SBP |
reponame_str |
Jornal Brasileiro de Patologia e Medicina Laboratorial (Online) |
collection |
Jornal Brasileiro de Patologia e Medicina Laboratorial (Online) |
repository.name.fl_str_mv |
Jornal Brasileiro de Patologia e Medicina Laboratorial (Online) - Sociedade Brasileira de Patologia (SBP) |
repository.mail.fl_str_mv |
||jbpml@sbpc.org.br |
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1752122296300994560 |