Name
Abstract | ||
|---|---|---|
The year 2020 was marked by the worldwide COVID-19 pandemic, which caused over 2.5 million deaths by the end of February 2021. Different methods have been established since the beginning to identify infected patients and restrict the spread of the virus. In addition to laboratory analysis, used as the gold standard, several applications have been developed to apply deep learning algorithms to ches... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CBMS52027.2021.00090 | 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) |
Keywords | DocType | ISBN |
COVID-19,Deep learning,Pandemics,Computer architecture,Coronaviruses,Convolutional neural networks,Task analysis | Conference | 978-1-6654-4121-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valerio Guarrasi | 1 | 0 | 0.34 |
| Natascha Claudia D'Amico | 2 | 0 | 1.69 |
| Rosa Sicilia | 3 | 0 | 2.37 |
| Ermanno Cordelli | 4 | 0 | 0.34 |
| Paolo Soda | 5 | 0 | 0.34 |