@InProceedings{MassaRibeLopeRodr:2016:ReReIm,
               author = "Massa, Paulo Gabriel and Ribeiro, Monael Pinheiro and Lopes, 
                         Guilherme Alberto Wachs and Rodrigues, aulo Sergio Silva",
          affiliation = "Centro de Matem{\'a}tica, Computa{\c{c}}{\~a}o e 
                         Cogni{\c{c}}{\~a}o da Universidade Federal do ABC, Santo 
                         Andr{\'e}, Brasil and Centro de Matem{\'a}tica, 
                         Computa{\c{c}}{\~a}o e Cogni{\c{c}}{\~a}o da Universidade 
                         Federal do ABC, Santo Andr{\'e}, Brasil and Departamento de 
                         Ci{\^e}ncia Computa{\c{c}}{\~a}o do Centro Universit{\'a}rio 
                         FEI, S{\~a}o Bernardo, Brasil and Departamento de Ci{\^e}ncia 
                         Computa{\c{c}}{\~a}o do Centro Universit{\'a}rio FEI, S{\~a}o 
                         Bernardo, Brasil",
                title = "Realce de regi{\~o}es em imagens de ultrassom de c{\^a}ncer 
                         mam{\'a}rio baseado em fun{\c{c}}{\~o}es q -sigm{\'o}ides",
            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 = "contrast enhancement, sigmoid, tsallis statistics, ultra-sound 
                         images, q-exponential, q-sigmoid, q-gaussian.",
             abstract = "AbstractThis paper introduces by the first timethe q-Sigmoid 
                         functions, a variation of the so called Sigmoid function, which is 
                         based on exponential kernels. This new function is based on 
                         non-extensive Tsallis statistics, through the use of q-Exponential 
                         kernels. The potential of this new function is demonstrated under 
                         the context of digital image processing, particularly for contrast 
                         enhancement and highlight regions of interest in ultrasound images 
                         of breast cancer. In the preliminary experiments, the proposed 
                         method showed good performance for both benign and malignant tumor 
                         images, significantly highlighting the region of interest from its 
                         background. This suggests that the proposed methodology can be 
                         explored in CAD (Computed AidedDiagnosis) systems as a 
                         pre-processing step of later stages such as segmentation and 
                         extraction of lesion contours before the shape and texture 
                         analysis stages in a system of automatic diagnosis.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3MDE9AE",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MDE9AE",
           targetfile = "paper-qenhancement-ufabc.pdf",
        urlaccessdate = "2024, May 03"
}