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.
@article{arxiv.2104.01509,
title = {Detection of COVID-19 Disease using Deep Neural Networks with Ultrasound Imaging},
author = {Carlos Rojas-Azabache and Karen Vilca-Janampa and Renzo Guerrero-Huayta and Dennis Núñez-Fernández},
journal= {arXiv preprint arXiv:2104.01509},
year = {2021}
}
Comments
Practical ML for Developing Countries Workshop at ICLR 2021