Processing and classification of biological images: Application to histology
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/3917 |
Resumo: | This article deals with a histological problem by using image processing and feature extraction in images of renal tissues of rats and their classification through various methods such as: Bayesian inference, decision trees and support vector machines. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Processing and classification of biological images: Application to histologyImage processingSegmentationClassificationFeature extractionHistologyHistologyRenal glomeruliThis article deals with a histological problem by using image processing and feature extraction in images of renal tissues of rats and their classification through various methods such as: Bayesian inference, decision trees and support vector machines.Taylor and Francis/CRC PRESS2012-01-20T10:12:59Z2012-01-202011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/3917http://hdl.handle.net/10174/3917engNunes B, Rato LM, Capela e Silva F, Rafael A, Cabrita AS. Processing and classification of biological images: Application to histology. In Jorge RM, Tavares JM, Barbosa MP, Slade AP (Eds.) Technology and Medical Sciences. 6th International Conference on Technology and Medical Sciences (TMSi) ISBN: 978-0-415-66822-4, e-ISBN: 978-0-203-81659-2, Taylor and Francis, January 2011; pp. 233-237.978-0-415-66822-4BIOndlmr@di.uevora.ptfcs@uevora.ptndnd283Nunes, BRato, LuisCapela e Silva, FRafael, ACabrita, ASinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:41:24Zoai:dspace.uevora.pt:10174/3917Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:59:15.454511Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Processing and classification of biological images: Application to histology |
title |
Processing and classification of biological images: Application to histology |
spellingShingle |
Processing and classification of biological images: Application to histology Nunes, B Image processing Segmentation Classification Feature extraction Histology Histology Renal glomeruli |
title_short |
Processing and classification of biological images: Application to histology |
title_full |
Processing and classification of biological images: Application to histology |
title_fullStr |
Processing and classification of biological images: Application to histology |
title_full_unstemmed |
Processing and classification of biological images: Application to histology |
title_sort |
Processing and classification of biological images: Application to histology |
author |
Nunes, B |
author_facet |
Nunes, B Rato, Luis Capela e Silva, F Rafael, A Cabrita, AS |
author_role |
author |
author2 |
Rato, Luis Capela e Silva, F Rafael, A Cabrita, AS |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Nunes, B Rato, Luis Capela e Silva, F Rafael, A Cabrita, AS |
dc.subject.por.fl_str_mv |
Image processing Segmentation Classification Feature extraction Histology Histology Renal glomeruli |
topic |
Image processing Segmentation Classification Feature extraction Histology Histology Renal glomeruli |
description |
This article deals with a histological problem by using image processing and feature extraction in images of renal tissues of rats and their classification through various methods such as: Bayesian inference, decision trees and support vector machines. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01T00:00:00Z 2012-01-20T10:12:59Z 2012-01-20 |
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.uri.fl_str_mv |
http://hdl.handle.net/10174/3917 http://hdl.handle.net/10174/3917 |
url |
http://hdl.handle.net/10174/3917 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Nunes B, Rato LM, Capela e Silva F, Rafael A, Cabrita AS. Processing and classification of biological images: Application to histology. In Jorge RM, Tavares JM, Barbosa MP, Slade AP (Eds.) Technology and Medical Sciences. 6th International Conference on Technology and Medical Sciences (TMSi) ISBN: 978-0-415-66822-4, e-ISBN: 978-0-203-81659-2, Taylor and Francis, January 2011; pp. 233-237. 978-0-415-66822-4 BIO nd lmr@di.uevora.pt fcs@uevora.pt nd nd 283 |
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/CRC PRESS |
publisher.none.fl_str_mv |
Taylor and Francis/CRC PRESS |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136475311243264 |