Deep Learning Models Used to Identify and Classify COVID-19 : A Review
Abstract & Details
Research Area
Artificial Intelligence and Deep Learning
Keywords
Deep Learning
Covid-19
Classification
Artificial Intelligence
Deep Learning Models
Review
Abstract
The novel coronavirus disease 2019 (COVID-19) became a challenging issue and added tremendous pressure on healthcare services worldwide. The early detection is of covid19 became very important to control the spread and to reduce pressure on healthcare services. the most common approach to detect covid19 is to use the nasal swab technique. X-ray radiographs are also a primary method used to detect lung infections and allow physicians to assess and plan a course of treatment. Although the usage of X-ray machines are a preferable first approach , the usage of X-ray radiographs requires radiologists to assess ever X-ray image of the chest and hence proved to be quite challenging. Hence, various machine learning techniques have been proposed to assist and speed up the diagnoses and decision-making process.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Meghana H M | Dayananda Sagar Academy of Technology and Management |
| 2 | Prakruthi P | Dayananda Sagar Academy of Technology and Management |
| 3 | Sanjana M N | Dayananda Sagar Academy of Technology and Management |
| 4 | Rashmi M | Dayananda Sagar Academy of Technology and Management |
| 5 | Dr Madhumala R Balgatti | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M, Meghana H, P, Prakruthi, N, Sanjana M, M, Rashmi, & Balgatti, Dr Madhumala R (2023). Deep Learning Models Used to Identify and Classify COVID-19 : A Review. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 2069-2080.
MLA Style
M, Meghana H, et al. "Deep Learning Models Used to Identify and Classify COVID-19 : A Review." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 2069-2080.
IEEE Style
Meghana H M, Prakruthi P, Sanjana M N, Rashmi M, and Dr Madhumala R Balgatti, "Deep Learning Models Used to Identify and Classify COVID-19 : A Review," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 2069-2080, 2023.
Vancouver Style
M Meghana H, P Prakruthi, N Sanjana M, M Rashmi, Balgatti Dr Madhumala R. Deep Learning Models Used to Identify and Classify COVID-19 : A Review. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):2069-2080.
Harvard Style
M, Meghana H, P, Prakruthi, N, Sanjana M, M, Rashmi, & Balgatti, Dr Madhumala R (2023) 'Deep Learning Models Used to Identify and Classify COVID-19 : A Review', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 2069-2080.
Chicago Style
M, Meghana H, et al. "Deep Learning Models Used to Identify and Classify COVID-19 : A Review." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2069-2080.
Turabian Style
M, Meghana H, et al. "Deep Learning Models Used to Identify and Classify COVID-19 : A Review." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 2069-2080.
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