Close
Metadata

Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3D85S8P
Repositorysid.inpe.br/sibgrapi/2012/12.17.15.44
Last Update2012:12.17.15.44.41 administrator
Metadatasid.inpe.br/sibgrapi/2012/12.17.15.44.41
Metadata Last Update2013:01.03.01.24.59 administrator
ISBN978-85-7669-271-3
Citation KeyPessoaSilv:1993:MeDiAu
TitleUma metodologia para diagnóstico automático da filariose utilizando imagens microscópicas digitalizadas
FormatImpresso, On-line.
Year1993
Access Date2021, Mar. 01
Number of Files1
Size7227 KiB
Context area
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
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
Conference LocationRecife
Date19 - 22 out. 1993
Volume1
Pages333-342
Book TitleAnais
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeArtigo
History2012-12-17 15:44:42 :: cintiagraziele.silva@gmail.com -> administrator ::
2013-01-03 01:24:59 :: administrator -> cintiagraziele.silva@gmail.com :: 1993
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
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
Arrangement
source Directory Contentthere are no files
agreement Directory Contentthere are no files
Conditions of access and use area
data URLhttp://urlib.net/rep/8JMKD3MGPBW34M/3D85S8P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3D85S8P
Languagept
Target File39 Uma metodologia para diagnostico automatico.pdf
User Groupadministrator
cintiagraziele.silva@gmail.com
Visibilityshown
Allied materials area
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype
Description control area
e-Mail (login)cintiagraziele.silva@gmail.com
update 

Close