Reference TypeConference Proceedings
Citation KeyDinizJúniSant:2007:CeTiSe
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
TitleCerebral tissue segmentation using q-entropy in multiple sclerosis magnetic resonance images
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorGonçalves, Luiz
Wu, Shin Ting
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationBelo Horizonte
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.
Tertiary TypeTechnical Poster
Size95 KiB
Number of Files1
Target Filepaper_SIBGRAPI_vrs_final_publicacao.pdf
Last Update2007: administrator
Metadata Last Update2020: administrator {D 2007}
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Access Date2020, Nov. 25