  The new coronavirus 2019 (COVID-2019) has rapidly become a pandemic and has
had a devastating effect on both everyday life, public health and the global
economy. It is critical to detect positive cases as early as possible to
prevent the further spread of this epidemic and to treat affected patients
quickly. The need for auxiliary diagnostic tools has increased as accurate
automated tool kits are not available. This paper presents a work in progress
that proposes the analysis of images of lung ultrasound scans using a
convolutional neural network. The trained model will be used on a Raspberry Pi
to predict on new images.
