Classification of Chest Radiography Scans for COVID-19
4th International Conference on Artificial Intelligence and Speech Technology, AIST 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2248165
ABSTRACT
Humanity has suffered as a result of the COVID-19 pandemic for more than two years. Testing kits were not widely accessible during the pandemic, which caused alarm. Any technical development that enables a quicker and more accurate identification of COVID-19 infection can be very beneficial for the medical field. X-rays can be used to examine a patient's lungs since COVID-19 targets the epithelial cells that line the respiratory system. It is challenging to determine COVID-19 from other Viral Pneumonia cases, though. The purpose of this paper is to examine the effectiveness of deep learning models in the quick and precise detection of COVID-19 in chest X-ray scans. © 2022 IEEE.
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Database:
Scopus
Language:
English
Journal:
4th International Conference on Artificial Intelligence and Speech Technology, AIST 2022
Year:
2022
Document Type:
Article
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