Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyDinizJúniSant:2007:CeTiSe
TitleCerebral tissue segmentation using q-entropy in multiple sclerosis magnetic resonance images
DateOct. 7-10, 2007
Access Date2021, Jan. 19
Number of Files1
Size95 KiB
Context area
Author1 Diniz, Paula Rejane Beserra
2 Júnior, Luiz Otávio Murta
3 Santos, Antônio Carlos dos
Affiliation1 Departamento de Neurologia,Faculdade de Medicina de Ribeirão Preto,USP, Ribeirão Preto- SP-Brasil
2 Departamento de Física e Matemática,Faculdade de Filosofia Ciências e letras de Ribeirão Preto,USP, Ribeirão Preto- SP-Brasil
3 Departamento de Radiologia,Faculdade de Medicina de Ribeirão Preto, USP, Ribeirão Preto- SP-Brasil
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeTechnical Poster
History2008-07-17 14:09:45 :: -> administrator ::
2009-08-13 20:38:39 :: administrator -> banon ::
2010-08-28 20:02:31 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordssegmentation, q-entropy, magnetic resonance,multiple sclerosis.
AbstractThe 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.
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Target Filepaper_SIBGRAPI_vrs_final_publicacao.pdf
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