Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: COVID-19 Screening Using Residual Attention Network an Artificial
  Intelligence Approach   Coronavirus Disease 2019 (COVID-19) is caused by severe acute respiratory
syndrome coronavirus 2 virus (SARS-CoV-2). The virus transmits rapidly; it has
a basic reproductive number R of 2.2-2.7. In March 2020, the World Health
Organization declared the COVID-19 outbreak a pandemic. COVID-19 is currently
affecting more than 200 countries with 6M active cases. An effective testing
strategy for COVID-19 is crucial to controlling the outbreak but the demand for
testing surpasses the availability of test kits that use Reverse Transcription
Polymerase Chain Reaction (RT-PCR). In this paper, we present a technique to
screen for COVID-19 using artificial intelligence. Our technique takes only
seconds to screen for the presence of the virus in a patient. We collected a
dataset of chest X-ray images and trained several popular deep convolution
neural network-based models (VGG, MobileNet, Xception, DenseNet,
InceptionResNet) to classify the chest X-rays. Unsatisfied with these models,
we then designed and built a Residual Attention Network that was able to screen
COVID-19 with a testing accuracy of 98% and a validation accuracy of 100%. A
feature maps visual of our model show areas in a chest X-ray which are
important for classification. Our work can help to increase the adaptation of
AI-assisted applications in clinical practice. The code and dataset used in
this project are available at
https://github.com/vishalshar/covid-19-screening-using-RAN-on-X-ray-images.

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The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: q-fin
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The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
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The categories of this paper are: plasm-ph
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The categories of this paper are: funct-an
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The categories of this paper are: dg-ga
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The categories of this paper are: nucl-ex