Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of COVID-19 X-ray Images Using a Combination of Deep and
  Handcrafted Features   Coronavirus Disease 2019 (COVID-19) demonstrated the need for accurate and
fast diagnosis methods for emergent viral diseases. Soon after the emergence of
COVID-19, medical practitioners used X-ray and computed tomography (CT) images
of patients' lungs to detect COVID-19. Machine learning methods are capable of
improving the identification accuracy of COVID-19 in X-ray and CT images,
delivering near real-time results, while alleviating the burden on medical
practitioners. In this work, we demonstrate the efficacy of a support vector
machine (SVM) classifier, trained with a combination of deep convolutional and
handcrafted features extracted from X-ray chest scans. We use this combination
of features to discriminate between healthy, common pneumonia, and COVID-19
patients. The performance of the combined feature approach is compared with a
standard convolutional neural network (CNN) and the SVM trained with
handcrafted features. We find that combining the features in our novel
framework improves the performance of the classification task compared to the
independent application of convolutional and handcrafted features.
Specifically, we achieve an accuracy of 0.988 in the classification task with
our combined approach compared to 0.963 and 0.983 accuracy for the handcrafted
features with SVM and CNN respectively.

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The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
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The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ