Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract
  using Global Features and Deep Learning   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%.

29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg