PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys

Detalhes bibliográficos
Autor(a) principal: Barros, George Oliveira
Data de Publicação: 2017
Outros Autores: Navarro, Brenda, Duarte, Angelo Amâncio, dosSantos, Washington Luis Conrado
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/24946
Resumo: Support Program for the Diagnosis of Hepatic and Renal Diseases, founded by the Gonçalo Moniz Institute, from the Oswaldo Cruz Foundation, Ministry of Health, Brazil.
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spelling Barros, George OliveiraNavarro, BrendaDuarte, Angelo AmânciodosSantos, Washington Luis Conrado2018-02-26T17:50:41Z2018-02-26T17:50:41Z2017BARROS, G. O. et al. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys. Scientific Reports, v. 7, 46769, 2017.2045-2322https://www.arca.fiocruz.br/handle/icict/2494610.1038/srep46769Support Program for the Diagnosis of Hepatic and Renal Diseases, founded by the Gonçalo Moniz Institute, from the Oswaldo Cruz Foundation, Ministry of Health, Brazil.Universidade Estadual de Feira de Santana. Pós-Graduação em Computação Aplicada. Feira de Santana, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana. Pós-Graduação em Computação Aplicada. Feira de Santana, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.PathoSpotter is a computational system designed to assist pathologists in teaching about and researching kidney diseases. PathoSpotter-K is the version that was developed to detect nephrological lesions in digital images of kidneys. Here, we present the results obtained using the first version of PathoSpotter-K, which uses classical image processing and pattern recognition methods to detect proliferative glomerular lesions with an accuracy of 88.3 ± 3.6%. Such performance is only achieved by similar systems if they use images of cell in contexts that are much less complex than the glomerular structure. The results indicate that the approach can be applied to the development of systems designed to train pathology students and to assist pathologists in determining large-scale clinicopathological correlations in morphological research.engNature Publishing GroupDoenças renaisNefrologiaRimPatologiaMorfologia celularKidney diseasesNephrologyKidneysPathologyMorphology of cellPathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneysinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/24946/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALBarros GO PathoSpotter-K- A computational tool ....pdfBarros GO PathoSpotter-K- A computational tool 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dc.title.pt_BR.fl_str_mv PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
title PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
spellingShingle PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
Barros, George Oliveira
Doenças renais
Nefrologia
Rim
Patologia
Morfologia celular
Kidney diseases
Nephrology
Kidneys
Pathology
Morphology of cell
title_short PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
title_full PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
title_fullStr PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
title_full_unstemmed PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
title_sort PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
author Barros, George Oliveira
author_facet Barros, George Oliveira
Navarro, Brenda
Duarte, Angelo Amâncio
dosSantos, Washington Luis Conrado
author_role author
author2 Navarro, Brenda
Duarte, Angelo Amâncio
dosSantos, Washington Luis Conrado
author2_role author
author
author
dc.contributor.author.fl_str_mv Barros, George Oliveira
Navarro, Brenda
Duarte, Angelo Amâncio
dosSantos, Washington Luis Conrado
dc.subject.other.pt_BR.fl_str_mv Doenças renais
Nefrologia
Rim
Patologia
Morfologia celular
topic Doenças renais
Nefrologia
Rim
Patologia
Morfologia celular
Kidney diseases
Nephrology
Kidneys
Pathology
Morphology of cell
dc.subject.en.pt_BR.fl_str_mv Kidney diseases
Nephrology
Kidneys
Pathology
Morphology of cell
description Support Program for the Diagnosis of Hepatic and Renal Diseases, founded by the Gonçalo Moniz Institute, from the Oswaldo Cruz Foundation, Ministry of Health, Brazil.
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2018-02-26T17:50:41Z
dc.date.available.fl_str_mv 2018-02-26T17:50:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv BARROS, G. O. et al. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys. Scientific Reports, v. 7, 46769, 2017.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/24946
dc.identifier.issn.pt_BR.fl_str_mv 2045-2322
dc.identifier.doi.none.fl_str_mv 10.1038/srep46769
identifier_str_mv BARROS, G. O. et al. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys. Scientific Reports, v. 7, 46769, 2017.
2045-2322
10.1038/srep46769
url https://www.arca.fiocruz.br/handle/icict/24946
dc.language.iso.fl_str_mv eng
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dc.publisher.none.fl_str_mv Nature Publishing Group
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