@InProceedings{FerreiraBorg:2001:AuMaCl,
               author = "Ferreira, Cristiane Bastos Rocha and Borges, Dibio Leandro",
                title = "Automated mammogram classification using a multiresolution pattern 
                         recognition approach",
            booktitle = "Proceedings...",
                 year = "2001",
               editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
                pages = "76--83",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Florian{\'o}polis, SC, Brazil, from 
                         October 15 to 18.",
             keywords = "automated mammogram classification, multiresolution, pattern 
                         recognition.",
             abstract = "In order to fully achieve automated mammogram analysis one has to 
                         tackle two problems: classification of radial, circumscribed, 
                         microcalcifications, and normal samples; and classification of 
                         benign, malign, and normal ones. How to extract and select the 
                         best features from the images for classification is a very 
                         difficult task, since all of those classes are basically irregular 
                         textures with a wide visual variety inside each class. In this 
                         paper we propose a multiresolution pattern recognition approach 
                         for this problem, by transforming the data of the images in a 
                         wavelet basis, and then using special sets of the coefficients as 
                         the features tailored towards separating each of those classes. 
                         For the experiments we have used samples of images labeled by 
                         physicians. Results shown are very promising, and the paper 
                         describes possible lines for future directions.",
  conference-location = "Florian{\'o}polis, SC, Brazil",
      conference-year = "15-18 Oct. 2001",
                  doi = "10.1109/SIBGRAPI.2001.963040",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963040",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/wiMNk",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wiMNk",
           targetfile = "76-83.pdf",
        urlaccessdate = "2024, May 01"
}