@InProceedings{FerrariHillPlewMart:2008:CaBiAs,
               author = "Ferrari, Ricardo J. and Hill, Kimberley A. and Plewes, Donald B. 
                         and Martel, Anne L.",
          affiliation = "University Health Network - University of Toronto, Toronto, ON, 
                         Canada and Division of Medical Oncology, Department of Medicine, 
                         Toronto, ON, Canada and Imaging Research, Sunnybrook Health 
                         Sciences Centre / Department of Biophysics, Toronto, ON, Canada 
                         and Imaging Research, Sunnybrook Health Sciences Centre / 
                         Department of Biophysics, Toronto, ON, Canada",
                title = "Can bilateral asymmetry analysis of breast MR images provide 
                         additional information for detection of breast diseases?",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "breast cancer, breast MRI, Phase Congruency, log-Gabor.",
             abstract = "This paper presents a new method for bilateral asym- metry 
                         analysis of breast MR images that uses directional statistics of 
                         the breast parenchymal edges, obtained from a multiresolution 
                         local energy edge detector, and image texture information derived 
                         from local energy maps, ob- tained by using a bank of log-Gabor 
                         filters. Classification of MRI scans into cancer and non-cancer 
                         categories was per- formed by linear discriminant analysis and the 
                         leave-one- out methodology. A total of 40 cases, 20 normal/benign 
                         (BI-RADS 1 and 2) and 20 malignant, taken from a high risk 
                         screening population, were used in this pilot study. Av- erage 
                         classification accuracy of 70% (\κ = 0.45 ± 0.14) with 
                         sensitivity and specificity of 75% and 65%, respec- tively, was 
                         achieved. The results obtained support the idea that bilateral 
                         asymmetry analysis of breast MR images can provide additional 
                         information for detection of breast tissue changes arising from 
                         diseases.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.10",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.10",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UTL7u",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UTL7u",
           targetfile = "ferrari-BilateralAsymmetry.pdf",
        urlaccessdate = "2024, Apr. 27"
}