biological tissues; cancer; fuzzy set theory; image classification; image texture; learning (artificial intelligence); mammography; mathematical operators; medical image processing; visual databases; Haralick texture features; IRMA database; Kappa index; World Health Organization; Zernike moments; benign masses; breast cancer; classification rate; computer-assisted diagnosis; dilation; erosion; extremely-dense tissue; fat tissue; fibroid tissue; fuzzy morphological extreme learning machines; fuzzy morphological kernels; hidden-layer kernel; image descriptors; malignant masses; mammograms; mass classification; mass detection; nonlinear morphological operators; normal masses; sigmoid kernels; Breast cancer; Digital images; Kernel; Morphology; Neurons; Training;
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