State-of-the-Art in Lung Ultrasound Processing - Brief Review

This paper explains the basic principles of ultrasound and its use in the medical examination mainly in chest ultrasound. We provide an overview of methods that address various aspects of classification and semantic segmentation of pathological symptoms in ultrasound videos. Also, we review the availability of the lung ultrasound data for the development of the machine learning models. Finally, we introduce our ongoing research in the field. This article serves as a theoretical basis for the introduction to lung ultrasound and the processing of ultrasonography data mainly with convolutional neural networks.