Effective Survey on Detection and Classification of COVID-19 Suspected Individual Using CT scan Images

Authors

  • Snehal R. Sambhe  Department of Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India
  • Dr. Kamlesh A. Waghmare  Assistant Professor, Department of Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217339

Keywords:

COVID 19, Classification, Corona virus, Chest Computed Tomography images

Abstract

As insufficient testing kits are available, the development of new testing kits for detecting COVID remains an open vicinity of research. It’s impossible to test each and every patient suffering from coronavirus symptoms using the traditional method i.e. RT-PCR. This test requires more time to produce results and have less sensitivity. Detecting feasible coronavirus infection using chest X-Ray may also assist quarantine excessive risk sufferers while testing results are disclosed. A learning model can be built based on CT scan images or Chest X-rays of individuals with higher accuracy. This paper represents a computer-aided diagnosis of COVID 19 infection bases on a feature extractor by using CNN models.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
Snehal R. Sambhe, Dr. Kamlesh A. Waghmare, " Effective Survey on Detection and Classification of COVID-19 Suspected Individual Using CT scan Images, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.294-299, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217339