Funder
NSF | BIO | Division of Biological Infrastructure
U.S. Department of Health & Human Services | National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
Reference53 articles.
1. Mossa-Basha, M. et al. Policies and guidelines for COVID-19 preparedness: experiences from the University of Washington. Radiology https://doi.org/10.1148/radiol.2020201326 (2020).
2. Kundu, S., Elhalawani, H., Gichoya, J. W. & Kahn, C. E.Jr How might AI and chest imaging help unravel COVID-19’s mysteries? Radiol. Artificial Intell 2, 3 (2020).
3. Ghoshal, B. & Tucker, A. Estimating uncertainty and interpretability in deep learning for coronavirus (COVID-19) detection. Preprint at https://arxiv.org/pdf/2003.10769.pdf (2020).
4. Wang, L., Lin, Z. Q. & Wong, A. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images. Sci. Rep. 10, 19549 (2020).
5. Hemdan, E. E.-D., Shouman, M. A. & Karar, M. E. COVIDX-Net: a framework of deep learning classifiers to diagnose COVID-19 in X-ray images. Preprint at https://arxiv.org/pdf/2003.11055.pdf (2020).
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