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@InProceedings{BragaMarqMedeUshi:2015:SeCÚCe,
               author = "Braga, Alan Magalh{\~a}es and Marques, Regis Cristiano Pinheiro 
                         and Medeiros, F{\'a}tima Nelsizeuma Sombra and Ushizima, Daniela 
                         Mayumi",
          affiliation = "{Instituto Federal do Cear{\'a}} and {Instituto Federal do 
                         Cear{\'a}} and {Universidade Federal do Cear{\'a}} and Berkeley 
                         Institute for Data Science, University of California, Berkeley \& 
                         Computational Research Division, Lawrence Berkeley National Lab",
                title = "Segmenta{\c{c}}{\~a}o de C{\'e}lulas Cervicais Utilizando Level 
                         Set Bin{\'a}rio-Hier{\'a}rquico",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Rios, Ricardo Araujo and Paiva, Afonso",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "cervical cancer cell, clusters detection, level set, image 
                         segmentation.",
             abstract = "This paper introduces a hierarchical approach based on a binary 
                         level set algorithm for cervical cell segmentation. The proposed 
                         program recursively segments a region into two new regions, 
                         starting from the whole image. In each step of the hierarchical 
                         process, we use a multiscale strategy to estimate the number of 
                         clusters of the current region. A new division is performed if two 
                         or more clusters are detected. The segmentation process 
                         automatically terminates when all regions cannot be divided 
                         further, according to the criteria imposed by the proposed method. 
                         Experiments performed on the Herlev dataset showed the 
                         effectiveness of the proposed hierarchical algorithm.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3JRKPRH",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRKPRH",
           targetfile = "segmentacao-de-celulas_camera_ready.pdf",
        urlaccessdate = "2021, Nov. 28"
}


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