Local Binary Patterns Applied to Breast Cancer Classification in Mammographies
نویسندگان
چکیده
منابع مشابه
Local Binary Patterns Applied to Breast Cancer Classification in Mammographies
Among all cancer types, breast cancer is the one with the second highest incidence rate for women. Mammography is the most used method for breast cancer detection, as it reveals abnormalities such as masses, calcifications, asymmetries and architectural distortions. In this paper, we propose a classification method for breast cancer that has been tested for six different cancer types: CALC, CIR...
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Recently, the orderless Bag-of-Words (BoW) approach has proven extremely popular and successful in texture classification tasks [1, 2, 3]. Due to its impressive computational efficiency and good texture discriminative property, the BoW-based approach LBP [1] has gained considerable attention. In order to employ the advantages of the method of Zhang et al. [3] in combining complementary local fe...
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Mammogram is one of the most commonly used radiology tool for the detection of breast cancer at the earlier stage, as it helps to reveal abnormalities such as masses, micro-calcification, asymmetries and architectural distortions. In this paper, we propose a technique for diagnosing breast cancer by using SVM classifier, which segregates on the basis of LBP features. SVM (Support Vector Machine...
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ژورنال
عنوان ژورنال: Revista de Informática Teórica e Aplicada
سال: 2014
ISSN: 2175-2745,0103-4308
DOI: 10.22456/2175-2745.46848