Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation

Detalhes bibliográficos
Autor(a) principal: Pedro Lemos Ballester
Data de Publicação: 2019
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7854321
id BRCRIS_fa27dec3ae3a6844ca3ec1af1fac7746
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
title Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
spellingShingle Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
Aprendizado semi-supervisionado
Semi-supervised learning
Pedro Lemos Ballester
title_short Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
title_full Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
title_fullStr Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
title_full_unstemmed Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
title_sort Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation
topic Aprendizado semi-supervisionado
Semi-supervised learning
publishDate 2019
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7854321
author_role author
author Pedro Lemos Ballester
author_facet Pedro Lemos Ballester
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3790337320791279
dc.contributor.advisor1.fl_str_mv Rodrigo Coelho Barros
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8172124241767828
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000-0002-0782-9482
dc.publisher.none.fl_str_mv PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL
publisher.none.fl_str_mv PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL
instname_str PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL
dc.publisher.program.fl_str_mv CIÊNCIA DA COMPUTAÇÃO
dc.description.course.none.fl_txt_mv CIÊNCIA DA COMPUTAÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationSemi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentationAprendizado semi-supervisionado2019masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7854321authorPedro Lemos Ballesterhttp://lattes.cnpq.br/3790337320791279Rodrigo Coelho Barroshttp://lattes.cnpq.br/8172124241767828https://orcid.org/0000-0002-0782-9482PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SULPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SULPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SULCIÊNCIA DA COMPUTAÇÃOCIÊNCIA DA COMPUTAÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv Ballester, Pedro Lemos. Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation. 2019. Tese.
dc.identifier.citation.fl_str_mv Ballester, Pedro Lemos. Semi-supervised learning methods for unsupervised domain adaptation in medical imaging segmentation. 2019. Tese.
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