  In this paper, we present our approach for the 2018 Medico Task classifying
diseases in the gastrointestinal tract. We have proposed a system based on
global features and deep neural networks. The best approach combines two neural
networks, and the reproducible experimental results signify the efficiency of
the proposed model with an accuracy rate of 95.80%, a precision of 95.87%, and
an F1-score of 95.80%.
