<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 9 Issue 2</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Computer Science</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>March - April 2021</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2021</Year>
        <Month>03</Month>
        <Day>27</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>A Study on Detection of COVID-19 in Lung CT Images Using Transfer Learning With Resnet Pre-Trained Model</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>28</FirstPage>
      <LastPage>34</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Rajeswari R </FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
             
        </Author>
      </AuthorList>
      <DOI>https://doi.org/10.21276/ijircst.2021.9.2.5</DOI>
      <Abstract>COVID-19 has impacted the lives of each and every person in the world.&amp;nbsp; Diagnosis of COVID-19 using imaging systems can be integrated with the standard Reverse Transcription Polymerase Chain Reaction (RT-PCR) test to perform the diagnosis more accurately. &amp;nbsp;In this paper, transfer learning based method using a pre-trained deep neural network model viz., ResNet is proposed to classify COVID-19 computed tomography (CT) lung images.&amp;nbsp; The pre-trained model is fine-tuned in order to make it learn the features specific to COVID-19 CT lung images.&amp;nbsp; The proposed method is compared with the methods available in the literature.&amp;nbsp; The results show that the proposed method is comparable to the existing methods.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>COVID-19 CT image classification, transfer learning, ResNet pre-trained model</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=565</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>