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		<isbn>978-85-7669-271-3</isbn>
		<citationkey>LangevinFaco:1993:SeAuIm</citationkey>
		<title>S.A.I.C: segmentação automática de imagens do cérebro</title>
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		<year>1993</year>
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		<author>Langevin, François,</author>
		<author>Facon, Jacques,</author>
		<affiliation>Centre d’ Imagerie Médicale Avancé (CIMA) de Université de Technologie de Compiègne (UTC)</affiliation>
		<affiliation>Centro Federal de Educação Tecnológica do Paraná (CEFET/PR)</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>343-347</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>segmentação automática, imagens do cérebro, tomografia computadorizada, imagens médicas.</keywords>
		<abstract>Computed tomography and magnetic resonance imaging provide complementary characteristic and diagnostic information. This paper discusses the automatic segmentation of meaningful regions of the human brain. The images of the human brain present many details with edge detection and connected set analysis. We demonstrate the results of this process from poor contrasted dual-echo images.</abstract>
		<type>Imagens Médicas</type>
		<language>pt</language>
		<targetfile>40 SAIC Segmentacao automatica.pdf</targetfile>
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