@InProceedings{RebouçasOlivMarqRebo:2016:StDeTh,
               author = "Rebou{\c{c}}as, Eliz{\^a}ngela de S. and Oliveira, Saulo A. F. 
                         and Marques, Regis C. P. and Rebou{\c{c}}as Filho, Pedro P.",
          affiliation = "Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e 
                         Tecnologia do Cear{\'a} and Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Cear{\'a} and 
                         Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e 
                         Tecnologia do Cear{\'a} and Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Cear{\'a}",
                title = "Stroke detection through a nonparametric estimation-based level 
                         set approach based on the Parzen windows",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Medical imaging, stroke, level set, parzen-window.",
             abstract = "This paper aims to aid stroke medical diagnosis through medical 
                         images of the brain. We propose a new approach to segment stroke 
                         brain Computerized Tomography (CT) images. The proposed approach 
                         uses level set method based on the nonparametric estimation 
                         approach via parzen-window. Besides this, by optimizing the 
                         criterion function, an optimal global threshold is obtained. The 
                         results demonstrated the success of the proposed method, when it 
                         was compared with the level set algorithm based on the coherent 
                         propagation method, using a ground truth built by a specialist. 
                         The results obtained show that the proposed method is better than 
                         the method based on coherent propagation. This method is a 
                         promising approach to be used in clinical routine diagnosis, since 
                         it requires less than 2 seconds for the analysis using a personal 
                         computer.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M924M2",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M924M2",
           targetfile = "ID_7.pdf",
        urlaccessdate = "2024, May 03"
}