Detection Of Covid-19 Features In Lung Ultrasound Images Using Deep Neural Networks

This article discusses the use of computational tools, specifically deep learning models, to aid in the detection of COVID-19 from lung ultrasound images. The authors propose the use of simulated data in addition to real patient data to improve the training and accuracy of the models. They also highlight the importance of correctly identifying specific image features associated with COVID-19, such as B-lines.