<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>8JMKD3MGPBW34M/3D85S8P</identifier>
		<repository>sid.inpe.br/sibgrapi/2012/12.17.15.44</repository>
		<lastupdate>2012:12.17.15.44.41 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi/2012/12.17.15.44.41</metadatarepository>
		<metadatalastupdate>2024:04.05.23.31.25 sid.inpe.br/bibdigital@80/2006/04.07.15.50 administrator</metadatalastupdate>
		<isbn>978-85-7669-271-3</isbn>
		<citationkey>PessoaSilv:1993:MeDiAu</citationkey>
		<title>Uma metodologia para diagnóstico automático da filariose utilizando imagens microscópicas digitalizadas</title>
		<format>Impresso, On-line.</format>
		<year>1993</year>
		<numberoffiles>1</numberoffiles>
		<size>7227 KiB</size>
		<author>Pessoa, Lúcio Flávio Cavalcanti,</author>
		<author>Silva, Ascendino Flávio Dias e,</author>
		<affiliation>Departamento de Eletrônica e Sistemas do Centro de Tecnologia da Universidade Federal de Pernambuco (UFPE)</affiliation>
		<affiliation>Departamento de Eletrônica e Sistemas do Centro de Tecnologia da Universidade Federal de Pernambuco (UFPE)</affiliation>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)</conferencename>
		<conferencelocation>Recife, PE, Brazil</conferencelocation>
		<date>19-22 Oct. 1993</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<volume>1</volume>
		<pages>333-342</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>morfologia matemática, reconhecimento de padrões, análise de imagens, imagens médicas, diagnóstico automático da filariose.</keywords>
		<abstract>This 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.</abstract>
		<type>Imagens Médicas</type>
		<language>pt</language>
		<targetfile>39 Uma metodologia para diagnostico automatico.pdf</targetfile>
		<usergroup>administrator</usergroup>
		<usergroup>cintiagraziele.silva@gmail.com</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>sid.inpe.br/sibgrapi@80/2007/08.02.16.22</mirrorrepository>
		<nexthigherunit>8JMKD3MGPBW34M/3DAMMNL</nexthigherunit>
		<nexthigherunit>8JMKD3MGPBW34M/3DAPSGB</nexthigherunit>
		<nexthigherunit>8JMKD3MGPCW/4AUUH9L</nexthigherunit>
		<nexthigherunit>8JMKD3MGPEW34M/4742MCS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2013/01.02.13.33 2</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<username>cintiagraziele.silva@gmail.com</username>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2012/12.17.15.44</url>
	</metadata>
</metadatalist>