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Reference TypeConference Paper (Conference Proceedings)
Last Update2012: administrator
Metadata Last Update2013: administrator
Citation KeyPessoaSilv:1993:MeDiAu
TitleUma metodologia para diagnóstico automático da filariose utilizando imagens microscópicas digitalizadas
FormatImpresso, On-line.
Access Date2021, Mar. 01
Number of Files1
Size7227 KiB
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Author1 Pessoa, Lúcio Flávio Cavalcanti
2 Silva, Ascendino Flávio Dias e
Affiliation1 Departamento de Eletrônica e Sistemas do Centro de Tecnologia da Universidade Federal de Pernambuco (UFPE)
2 Departamento de Eletrônica e Sistemas do Centro de Tecnologia da Universidade Federal de Pernambuco (UFPE)
EditorFigueiredo, Luiz Henrique de
Gomes, Jonas de Miranda
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
Conference LocationRecife
Date19 - 22 out. 1993
Book TitleAnais
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeArtigo
History2012-12-17 15:44:42 :: -> administrator ::
2013-01-03 01:24:59 :: administrator -> :: 1993
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Is the master or a copy?is the master
Content Stagecompleted
Keywordsmorfologia matemática, reconhecimento de padrões, análise de imagens, imagens médicas, diagnóstico automático da filariose.
AbstractThis paper describes a methodology for automatic diagnosis of filariasis, a tropical disease that represents a serious health problem in the State of Pernambuco, Northeast of Brazil. The medical diagnosis of filariasis is made scanning blood samples under an optical microscope and counting the number of a microscopic warm, commonly known as microfilariae. The methodology is based on the theories of Mathematical Morphology and Pattern Recognition and uses digital microscopic images, with resolution 640x480x64, as inputs. Using a training set with 56 patterns, the automatic recognition of microfilariaes was performed by a Linear Discriminant Function with 4 features only, and the automation viability of this diagnosis was finally confirmed through the excellent classification results.
TypeImagens Médicas
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