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		<citationkey>DinizJúniSant:2007:CeTiSe</citationkey>
		<author>Diniz, Paula Rejane Beserra,</author>
		<author>Júnior, Luiz Otávio Murta,</author>
		<author>Santos, Antônio Carlos dos,</author>
		<affiliation>Departamento de Neurologia,Faculdade de Medicina de Ribeirão Preto,USP, Ribeirão Preto- SP-Brasil</affiliation>
		<affiliation>Departamento de Física e Matemática,Faculdade de Filosofia Ciências e letras de Ribeirão Preto,USP, Ribeirão Preto- SP-Brasil</affiliation>
		<affiliation>Departamento de Radiologia,Faculdade de Medicina de Ribeirão Preto, USP, Ribeirão Preto- SP-Brasil</affiliation>
		<title>Cerebral tissue segmentation using q-entropy in multiple sclerosis magnetic resonance images</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>segmentation, q-entropy, magnetic resonance,multiple sclerosis.</keywords>
		<abstract>The brain volume measurements have important clinical applications in the treatment of neurodegenerative illnesses. The segmentation and the volume calculation are important in the medical context to provide information to assist the physician in disease diagnostic and prognostic. Furthermore, it can improve the speed of the diagnostic. The objective of this article is to describe the development and evaluation of a tool for calculation of the brain volume using Tsallis Entropy.</abstract>
		<language>en</language>
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