COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos. (arXiv:2205.08932v1 [eess.IV])

Besides vaccination, as an effective way to mitigate the further spread of
COVID-19, fast and accurate screening of individuals to test for the disease is
yet necessary to ensure public health safety. We propose COVID-Net UV, an
end-to-end hybrid spatio-temporal deep neural network architecture, to detect
COVID-19 infection from lung point-of-care ultrasound videos captured by convex
transducers. COVID-Net UV comprises a convolutional neural network that
extracts spatial features and a recurrent neural network that learns temporal
dependence. After careful hyperparameter …

architecture arxiv covid covid-19 deep neural network diagnosis network network architecture neural network temporal videos