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@InProceedings{DinizJśniSant:2007:CeTiSe,
               author = "Diniz, Paula Rejane Beserra and J{\'u}nior, Luiz Ot{\'a}vio 
                         Murta and Santos, Ant{\^o}nio Carlos dos",
          affiliation = "Departamento de Neurologia,Faculdade de Medicina de Ribeir{\~a}o 
                         Preto,USP, Ribeir{\~a}o Preto- SP-Brasil and Departamento de 
                         F{\'{\i}}sica e Matem{\'a}tica,Faculdade de Filosofia 
                         Ci{\^e}ncias e letras de Ribeir{\~a}o Preto,USP, Ribeir{\~a}o 
                         Preto- SP-Brasil and Departamento de Radiologia,Faculdade de 
                         Medicina de Ribeir{\~a}o Preto, USP, Ribeir{\~a}o Preto- 
                         SP-Brasil",
                title = "Cerebral tissue segmentation using q-entropy in multiple sclerosis 
                         magnetic resonance images",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "segmentation, q-entropy, magnetic resonance,multiple sclerosis.",
             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.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "paper_SIBGRAPI_vrs_final_publicacao.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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