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Title: :  COVID-19 DETECTION - THE COMPARISON
PaperId: :  18115
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 4 2022
DUI:    16.0415/IJARIIE-18115
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Namratha RSri Siddhartha institute of technology, Karnataka, India
Anitha Devi MDSri Siddhartha institute of technology, Karnataka, India
MZ KurianSri Siddhartha institute of technology, Karnataka, India

Abstract

Electronics and Communication Engineering
CT, CNN, VGG16, Mobile net, Densenet121, Xception, Efficient net, NAS Net
A larger epidemic includes the coronavirus disease 2019 (Covid-19), which is brought on by the coronavirus Z2 (SARS-CoV-2) that causes severe acute respiratory syndrome. The virus is quickly spreading and infecting more people. Actual head diagnosis Polymerase chain reaction test for reverse transcription. Additional quick and accessible diagnostic tools are required because the solution time and cost of this test are exorbitant. The rapid increase in covid infection peoples is enormous. The healthcare system across world-wide with having only limited testing kits, so it is impossible for every covid patient with respiratory illness to test using normal techniques. Those tests are also have long turn over time and very limited sensitivity. So, X-ray machines are already in use it may help to quarantine high risk covid affected patients stint test results are awaited. The image-based diagnosis sequence for COVID-19, using a thoracic CT scan as an example. A technician instructs and assists each individual in posing on the patient bed, after which CT scan images are collected in a single breath-hold. The radiologists' best settings for the scans are used from the Depending on the patient's body type, the costophrenic angle may be superior to the upper thoracic inlet. Reconstructed CT images are then sent via picture archiving and communication systems (PACS) for additional analysis and diagnosis using the obtained data. An innovative method in the field of medical imaging called artificial intelligence (AI) made a significant contribution to the fight against COVID-19. In comparison to the traditional imaging workflow, which depends mainly on human labour, AI enables safer, more precise, and more effective imaging solutions. The specialised imaging platform, segmentation of the lung infection region, clinical evaluation and diagnosis, and basic and clinical research, are among the AI-powered applications in COVID-19Z. Furthermore, various commercial solutions have been created that successfully integrate AI into ZcombatZCOVID-19 and clearly demonstrate the technology's capabilities. Due to the significance of AI in every part of COVID-19 image-based analysis, the focus of this review will be on how AI-enabled medical imaging contributes to the fight against disease. First, we'll go through intelligent imaging platforms for COVID-19, Next, we'll discuss popular machine learning techniques used in imaging workflow, including segmentation, diagnosis, and prognosis. A number of publicly accessible datasets are also discussed. The increased likelihood of occupational virus exposure makes healthcare practitioners particularly vulnerable. Priority is provided to imaging specialists and technicians in order to prevent any dangerous viral interactions. Personal protection equipment (PPE) and specialised imaging facilities are also available and procedures may be considered, which are critical in reducing hazards and saving lives.

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IJARIIE Namratha R, Anitha Devi MD, and MZ Kurian. "COVID-19 DETECTION - THE COMPARISON" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 4 2022 Page 2553-2557
MLA Namratha R, Anitha Devi MD, and MZ Kurian. "COVID-19 DETECTION - THE COMPARISON." International Journal Of Advance Research And Innovative Ideas In Education 8.4(2022) : 2553-2557.
APA Namratha R, Anitha Devi MD, & MZ Kurian. (2022). COVID-19 DETECTION - THE COMPARISON. International Journal Of Advance Research And Innovative Ideas In Education, 8(4), 2553-2557.
Chicago Namratha R, Anitha Devi MD, and MZ Kurian. "COVID-19 DETECTION - THE COMPARISON." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 4 (2022) : 2553-2557.
Oxford Namratha R, Anitha Devi MD, and MZ Kurian. 'COVID-19 DETECTION - THE COMPARISON', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 4, 2022, p. 2553-2557. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/COVID_19_DETECTION___THE_COMPARISON_ijariie18115.pdf (Accessed : ).
Harvard Namratha R, Anitha Devi MD, and MZ Kurian. (2022) 'COVID-19 DETECTION - THE COMPARISON', International Journal Of Advance Research And Innovative Ideas In Education, 8(4), pp. 2553-2557IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/COVID_19_DETECTION___THE_COMPARISON_ijariie18115.pdf (Accessed : )
IEEE Namratha R, Anitha Devi MD, and MZ Kurian, "COVID-19 DETECTION - THE COMPARISON," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 4, pp. 2553-2557, Jul-Aug 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/COVID_19_DETECTION___THE_COMPARISON_ijariie18115.pdf [Accessed : ].
Turabian Namratha R, Anitha Devi MD, and MZ Kurian. "COVID-19 DETECTION - THE COMPARISON." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 4 ().
Vancouver Namratha R, Anitha Devi MD, and MZ Kurian. COVID-19 DETECTION - THE COMPARISON. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(4) : 2553-2557. Available from: https://ijariie.com/AdminUploadPdf/COVID_19_DETECTION___THE_COMPARISON_ijariie18115.pdf
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