CT-Based Auto Lung Damage Assessment COVID-19
Abstract
Objective:
Disease development or viruses that invade our bodies can be monitored using computed tomography imaging tools. However, it is not sufficient to reach the level of lung damage in COVID-19 patients through automated detection. Firstly, 100 patients were recruited between September 29 2020 and July 10, 2022, of whom tested positive for COVID-19 and CT images were collected, then composite technique is implemented to extract the percentage of lung damage of covid 19 patients.
Methods:
In this study, a new approach was presented for improving CT images of the lung and specifying further lesions. This will help calculate the extent of damage without human intervention. The structure of the proposed technique draws upon four phases (data collection, improving, segmentation and extraction lung damage region and evaluation).
Results:
The results revealed an effective method for quickly and practically calculating the percentage of lung damage. The convergence between manual evaluation, which represents the evaluation of the radiologist, and automatic evaluation, which is the result of implementing the proposed method, is clear, and this confirms the possibility of using it as an alternative in the absence of a specialist doctor. The difference in the arithmetic mean between it and the evaluation of the first specialist was equal to 3.5%, and the second was 10%. In addition, according to the results presented, the age group between (30-60) years is the most affected by the Corona virus.
Conclusions:
This method is An effective tool for assessment the percentage of lung damage of COVID19 quickly and practically. Where, Lung damage can be evaluated without human intervention It can be invested in telemedicine and emergency cases at the absence of a specialist doctor.
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| Coronavirus Disease of 2019 Image Analysis Lung Damage Assessment Radiologist Examination | ||
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