A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories
نویسندگان
چکیده
Tables show the results of the classifiers for the SFM and the FFDM datasets using a 10-fold crossvalidation and the complete dataset, with 20 features selected by the inter/intra cluster criteria and with 20 features of the PCA. Noelia Vállez1,2, Gloria Bueno1, Oscar Déniz-Suárez1, José A. Seoane2, Julián Dorado2, and Alejandro Pazos2 1 VISILAB, E.T.S.I.I, Universidad de Castilla-La Mancha, Spain 2 RNASA-IMEDIR, Universidade a Coruña, Spain
منابع مشابه
A Comparison of Breast Tissue Classification Techniques
It is widely accepted in the medical community that breast tissue density is an important risk factor for the development of breast cancer. Thus, the development of reliable automatic methods for classification of breast tissue is justified and necessary. Although different approaches in this area have been proposed in recent years, only a few are based on the BIRADS classification standard. In...
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