Abstract:

For medical images classification, feature selection is an important factor that affects classification accuracy. Aiming at the particularity of medical image as well as undesirable effects of current feature selection methods, we propose a fuzzy rough set model based on neighborhood relation, and a feature selection algorithm based on the model as well. We apply our algorithm to mammography, and the experimental results show that it can effectively select features and improve classification accuracy in comparison with the existing algorithms.

Key words: medical image classification;feature selection;neighborhood relation