Mathematical algorithm for the automatic recognition of intestinal parasites

Descripción del Articulo

This study was funded by CONCYTEC-PROCYT 245-2008 and FINCyT-EQUIP 100-2009. MZ was a grantee of Bill and Melinda Gates Foundation (OPPOPP1140557). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Detalles Bibliográficos
Autores: Alva, A, Cangalaya, C, Quiliano, M, Krebs, C, Gilman, RH, Sheen, P, Zimic, M
Formato: artículo
Fecha de Publicación:2017
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/1254
Enlace del recurso:https://hdl.handle.net/20.500.12390/1254
https://doi.org/10.1371/journal.pone.0175646
Nivel de acceso:acceso abierto
Materia:mathematical algorithm
intestinal parasites
https://purl.org/pe-repo/ocde/ford#1.01.00
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oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/1254
network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Mathematical algorithm for the automatic recognition of intestinal parasites
title Mathematical algorithm for the automatic recognition of intestinal parasites
spellingShingle Mathematical algorithm for the automatic recognition of intestinal parasites
Alva, A
mathematical algorithm
intestinal parasites
intestinal parasites
https://purl.org/pe-repo/ocde/ford#1.01.00
title_short Mathematical algorithm for the automatic recognition of intestinal parasites
title_full Mathematical algorithm for the automatic recognition of intestinal parasites
title_fullStr Mathematical algorithm for the automatic recognition of intestinal parasites
title_full_unstemmed Mathematical algorithm for the automatic recognition of intestinal parasites
title_sort Mathematical algorithm for the automatic recognition of intestinal parasites
author Alva, A
author_facet Alva, A
Cangalaya, C
Quiliano, M
Krebs, C
Gilman, RH
Sheen, P
Zimic, M
author_role author
author2 Cangalaya, C
Quiliano, M
Krebs, C
Gilman, RH
Sheen, P
Zimic, M
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Alva, A
Cangalaya, C
Quiliano, M
Krebs, C
Gilman, RH
Sheen, P
Zimic, M
dc.subject.none.fl_str_mv mathematical algorithm
topic mathematical algorithm
intestinal parasites
intestinal parasites
https://purl.org/pe-repo/ocde/ford#1.01.00
dc.subject.es_PE.fl_str_mv intestinal parasites
intestinal parasites
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.01.00
description This study was funded by CONCYTEC-PROCYT 245-2008 and FINCyT-EQUIP 100-2009. MZ was a grantee of Bill and Melinda Gates Foundation (OPPOPP1140557). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/1254
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1371/journal.pone.0175646
dc.identifier.isi.none.fl_str_mv 399955600030
url https://hdl.handle.net/20.500.12390/1254
https://doi.org/10.1371/journal.pone.0175646
identifier_str_mv 399955600030
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv PLOS ONE
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv PLOS
publisher.none.fl_str_mv PLOS
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1839175458133901312
spelling Publicationrp00907500rp03618600rp03617600rp03619600rp00604500rp00526500rp00606400Alva, ACangalaya, CQuiliano, MKrebs, CGilman, RHSheen, PZimic, M2024-05-30T23:13:38Z2024-05-30T23:13:38Z2017https://hdl.handle.net/20.500.12390/1254https://doi.org/10.1371/journal.pone.0175646399955600030This study was funded by CONCYTEC-PROCYT 245-2008 and FINCyT-EQUIP 100-2009. MZ was a grantee of Bill and Melinda Gates Foundation (OPPOPP1140557). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Parasitic infections are generally diagnosed by professionals trained to recognize the morphological characteristics of the eggs in microscopic images of fecal smears. However, this laboratory diagnosis requires medical specialists which are lacking in many of the areas where these infections are most prevalent. In response to this public health issue, we developed a software based on pattern recognition analysis from microscopi digital images of fecal smears, capable of automatically recognizing and diagnosing common human intestinal parasites.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengPLOSPLOS ONEinfo:eu-repo/semantics/openAccessmathematical algorithmintestinal parasites-1intestinal parasites-1https://purl.org/pe-repo/ocde/ford#1.01.00-1Mathematical algorithm for the automatic recognition of intestinal parasitesinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/1254oai:repositorio.concytec.gob.pe:20.500.12390/12542024-05-30 15:46:07.59http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="223b291e-ae86-4bd4-a778-e09cd65c2d9b"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Mathematical algorithm for the automatic recognition of intestinal parasites</Title> <PublishedIn> <Publication> <Title>PLOS ONE</Title> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <DOI>https://doi.org/10.1371/journal.pone.0175646</DOI> <ISI-Number>399955600030</ISI-Number> <Authors> <Author> <DisplayName>Alva, A</DisplayName> <Person id="rp00907" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Cangalaya, C</DisplayName> <Person id="rp03618" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Quiliano, M</DisplayName> <Person id="rp03617" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Krebs, C</DisplayName> <Person id="rp03619" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gilman, RH</DisplayName> <Person id="rp00604" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Sheen, P</DisplayName> <Person id="rp00526" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Zimic, M</DisplayName> <Person id="rp00606" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>PLOS</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>mathematical algorithm</Keyword> <Keyword>intestinal parasites</Keyword> <Keyword>intestinal parasites</Keyword> <Abstract>Parasitic infections are generally diagnosed by professionals trained to recognize the morphological characteristics of the eggs in microscopic images of fecal smears. However, this laboratory diagnosis requires medical specialists which are lacking in many of the areas where these infections are most prevalent. In response to this public health issue, we developed a software based on pattern recognition analysis from microscopi digital images of fecal smears, capable of automatically recognizing and diagnosing common human intestinal parasites.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.430107
Mathematical algorithm for the automatic recognition of intestinal parasites
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

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