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@InProceedings{BarrosDuarSant:2015:SiClGl,
               author = "Barros, George Oliveira and Duarte, {\^A}ngelo Am{\^a}ncio and 
                         Santos, Washington Luis Conrado dos",
          affiliation = "{Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em 
                         Computa{\c{c}}{\~a}o Aplicada - Universidade Estadual de Feira 
                         de Santana} and {Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em 
                         Computa{\c{c}}{\~a}o Aplicada - Universidade Estadual de Feira 
                         de Santana} and {Centro de Pesquisas Gon{\c{c}}alo Muniz - 
                         Funda{\c{c}}{\~a}o Osvaldo Cruz}",
                title = "PathoSpotter: Um Sistema para Classifica{\c{c}}{\~a}o de 
                         Glomerulopatias a partir de Imagens Histol{\'o}gicas Renais",
            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 = "kidney histologycal images, nefropatia, image processing, computer 
                         vision, medical image analysis.",
             abstract = "This paper describes the current state of the research and 
                         implementation of PathoSpotter-K, a classification system of 
                         glomerulopathies based on histological images from kidney. The 
                         process of identify such pathologies from images requires 
                         pathologists with great expertise in image classification, because 
                         the features of the histological images lead to a subjective 
                         analysis. Currently, the PathoSpotter-K yields classifications 
                         with 67% accuracy. Other improvements are being implemented to 
                         increase the accuracy as also as to collect more images to build a 
                         larger dataset in order to assess robustness of the system.",
  conference-location = "Salvador",
      conference-year = "Aug. 26-29, 2015",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3JRK2U5",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3JRK2U5",
           targetfile = "pathospotter.pdf",
        urlaccessdate = "2020, Nov. 28"
}


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