The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

10/31/2018

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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 an F1-score of 95.80

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The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

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The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

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