COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45676-3_20
Reference26 articles.
1. Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., et al.: Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir. Med. 8(4), 420–422 (2020). https://doi.org/10.1016/S2213-2600(20)30076-X
2. Risch, H.A.: Early outpatient treatment of symptomatic, high-risk COVID-19 patients that should be ramped up immediately as key to the pandemic crisis. Am. J. Epidemiol. 189(11), 1218–1226 (2020). https://doi.org/10.1093/aje/kwaa093
3. Lunz, D., Batt, G., Ruess, J.: To isolate, or not to isolate: a theoretical framework for disease control via contact tracing. medRxiv 1–9 (2020)
4. Kong, W., Agarwal, P.P.: Chest imaging appearance of COVID-19 infection. Radiol. Cardiothorac. Imaging 2(1), e200028 (2020). https://doi.org/10.1148/ryct.2020200028
5. China NHCotPsRo: New diagnosis and treatment of coronary pneumonia. (2020)
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