Design of Deep Learning Based Covid 19 Diagnosis Framework Using Lung Ultrasound Images

ABSTRACT

The global health catastrophe caused by the Coronavirus disease pandemic (COVID-19) and related control efforts has impacted every aspect of human life. The most important requirement for COVID-19 diagnosis is early detection of the condition. The ML algorithm aids in the acceleration of the process while also conserving energy. Time-to-delivery and the availability of training data, on the other hand, are critical. Deep learning algorithms surpass covid 19-based lung ultrasound scans in diagnosing them, according to a thorough background analysis. As a result, this study shows how to develop a CNN-based framework for Lung Ultrasound indicators in COVID-19 in real time. This research looks into the roadmap of lung ultrasonography indicators in detail, with a focus on COVID-19. Finally, this article emphasizes the investigation of the covid19 problem in different domains. © 2022 IEEE.