COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learning. (arXiv:2204.13851v1 [eess.IV])

As the global population continues to face significant negative impact by the
on-going COVID-19 pandemic, there has been an increasing usage of point-of-care
ultrasound (POCUS) imaging as a low-cost and effective imaging modality of
choice in the COVID-19 clinical workflow. A major barrier with widespread
adoption of POCUS in the COVID-19 clinical workflow is the scarcity of expert
clinicians that can interpret POCUS examinations, leading to considerable
interest in deep learning-driven clinical decision support systems to tackle
this challenge. A …

arxiv augmentation cases covid covid-19 deep neural network detection imaging learning linear network neural network patient us