A pyramid machine learning model for polyp classification via CT colonography

In this article, we propose a pyramid multilayer machine learning method to combine classification and feature selection into the same model for polyp classification. This model provides a solution to pick the best attributes from three different texture features to form a new descriptor set with much better classification results. Generally, this method has several good properties including generalization, extendibility, and monotonicity. From...