PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
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