Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging

The new coronavirus 2019 (COVID-2019), which first appeared in the city of Wuhan in China in December 2019, quickly spread around the world and became a pandemic. It has had a devastating effect on both daily 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 from ultrasound scans using a convolutional neural network, and that system will be implemented on a Raspberry Pi.