Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model

Detalhes bibliográficos
Autor(a) principal: Chagas, Paulo
Data de Publicação: 2022
Outros Autores: Souza, Luiz, Pontes, Izabelle, Calumby, Rodrigo, Angelo, Michele, Duarte, Angelo, Santos, Washington L. C. dos, Oliveira, Luciano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/56838
Resumo: Fundação de Apoio à Pesquisa do Estado da Bahia (FAPESB). Inova Fiocruz - Ideias inovadoras. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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spelling Chagas, PauloSouza, LuizPontes, IzabelleCalumby, RodrigoAngelo, MicheleDuarte, AngeloSantos, Washington L. C. dosOliveira, Luciano2023-02-02T16:58:53Z2023-02-02T16:58:53Z2022CHAGAS, Paulo et al. Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model. Computer Methods in Biomechanics and Biomedical Engineering, p. 1-11, 2022.1476-8259https://www.arca.fiocruz.br/handle/icict/568380.1080/21681163.2022.2029573Fundação de Apoio à Pesquisa do Estado da Bahia (FAPESB). Inova Fiocruz - Ideias inovadoras. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).Universidade Federal Da Bahia. IvisionLab. Salvador, BA, Brasil.Universidade Federal Da Bahia. IvisionLab. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana. Departamento de Tecnologia. Salvador, BA, Brasil.Fundação Oswaldo Cruz, Instituto Gonçalo Moniz, Salvador, BA, Brasil.Universidade Federal Da Bahia. IvisionLab. Salvador, BA, Brasil.Membranous nephropathy (MN) is among the most common glomerular diseases that cause nephrotic syndrome in adults. To aid pathologists on performing the MN classification task, we proposed here a pipeline consisted of two steps. Firstly, we assessed four deep-learning-based architectures, namely, ResNet-18, MobileNet, DenseNet, and Wide-ResNet. To achieve more reliable predictions, we adopted and extensively evaluated a Monte-Carlo dropout approach for uncertainty estimation. Using a 10-fold cross-validation setup, all models achieved average F1-scores above 92%, where the highest average value of 93.2% was obtained by using Wide-ResNet. Regarding uncertainty estimation with Wide-ResNet, high uncertainty scores were more associated with erroneous predictions, demonstrating that our approach can assist pathologists in interpreting the predictions with high reliability. We show that uncertainty-based thresholds for decision referral can greatly improve classification performance, increas-ing the accuracy up to 96%. Finally, we investigated how the uncertainty scores relate to complexity scores defined by pathologistsengTaylor and Francis GroupNefropatia membranosaAprendizado profundoEstimativa de incertezaMembranous nephropathyDeep learningUncertainty estimationNefropatiasAprendizado profundoIncertezaUncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the modelinfo: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/56838/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALChagas, Paulo - Uncertainty aware membranous nephropathy classification.pdfChagas, Paulo - Uncertainty aware membranous nephropathy classification.pdfapplication/pdf5862914https://www.arca.fiocruz.br/bitstream/icict/56838/2/Chagas%2c%20Paulo%20-%20Uncertainty%20aware%20membranous%20nephropathy%20classification.pdf7cb049afe4edece8eb9dec156135ff00MD52icict/568382023-03-15 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dc.title.en_US.fl_str_mv Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
title Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
spellingShingle Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
Chagas, Paulo
Nefropatia membranosa
Aprendizado profundo
Estimativa de incerteza
Membranous nephropathy
Deep learning
Uncertainty estimation
Nefropatias
Aprendizado profundo
Incerteza
title_short Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
title_full Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
title_fullStr Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
title_full_unstemmed Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
title_sort Uncertainty-aware membranous nephropathy classification: a Monte-Carlo dropout approach to detect how certain is the model
author Chagas, Paulo
author_facet Chagas, Paulo
Souza, Luiz
Pontes, Izabelle
Calumby, Rodrigo
Angelo, Michele
Duarte, Angelo
Santos, Washington L. C. dos
Oliveira, Luciano
author_role author
author2 Souza, Luiz
Pontes, Izabelle
Calumby, Rodrigo
Angelo, Michele
Duarte, Angelo
Santos, Washington L. C. dos
Oliveira, Luciano
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Chagas, Paulo
Souza, Luiz
Pontes, Izabelle
Calumby, Rodrigo
Angelo, Michele
Duarte, Angelo
Santos, Washington L. C. dos
Oliveira, Luciano
dc.subject.other.en_US.fl_str_mv Nefropatia membranosa
Aprendizado profundo
Estimativa de incerteza
topic Nefropatia membranosa
Aprendizado profundo
Estimativa de incerteza
Membranous nephropathy
Deep learning
Uncertainty estimation
Nefropatias
Aprendizado profundo
Incerteza
dc.subject.en.en_US.fl_str_mv Membranous nephropathy
Deep learning
Uncertainty estimation
dc.subject.decs.en_US.fl_str_mv Nefropatias
Aprendizado profundo
Incerteza
description Fundação de Apoio à Pesquisa do Estado da Bahia (FAPESB). Inova Fiocruz - Ideias inovadoras. Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
publishDate 2022
dc.date.issued.fl_str_mv 2022
dc.date.accessioned.fl_str_mv 2023-02-02T16:58:53Z
dc.date.available.fl_str_mv 2023-02-02T16:58:53Z
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 CHAGAS, Paulo et al. Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model. Computer Methods in Biomechanics and Biomedical Engineering, p. 1-11, 2022.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/56838
dc.identifier.issn.en_US.fl_str_mv 1476-8259
dc.identifier.doi.none.fl_str_mv 0.1080/21681163.2022.2029573
identifier_str_mv CHAGAS, Paulo et al. Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model. Computer Methods in Biomechanics and Biomedical Engineering, p. 1-11, 2022.
1476-8259
0.1080/21681163.2022.2029573
url https://www.arca.fiocruz.br/handle/icict/56838
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Taylor and Francis Group
publisher.none.fl_str_mv Taylor and Francis Group
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/56838/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/56838/2/Chagas%2c%20Paulo%20-%20Uncertainty%20aware%20membranous%20nephropathy%20classification.pdf
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repository.name.fl_str_mv Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv repositorio.arca@fiocruz.br
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