Abstract
We propose a method for discrimination and classi¯cation of mammograms with benign, malignant and normal tissues using independent component analysis and
neural networks. The method was tested for a mammogram set from MIAS database, and multilayer perceptron. The method obtained a success rate of 97.83% , with 97.5% of speci¯city and 98% of sensitivity.
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