Name
Title | ||
|---|---|---|
EDL-COVID: Ensemble Deep Learning for COVID-19 Cases Detection from Chest X-Ray Images |
Abstract | ||
|---|---|---|
Effective screening of COVID-19 cases has been becoming extremely important to mitigate and stop the quick spread of the disease during the current period of COVID-19 pandemic worldwide. In this article, we consider radiology examination of using chest X-ray images, which is among the effective screening approaches for COVID-19 case detection. Given deep learning is an effective tool and framework... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2021.3057683 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
COVID-19,Deep learning,Computational modeling,Training,Predictive models,Sensitivity,X-ray imaging | Journal | 17 |
Issue | ISSN | Citations |
9 | 1551-3203 | 3 |
PageRank | References | Authors |
0.37 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shanjiang Tang | 1 | 19 | 5.08 |
| Chunjiang Wang | 2 | 3 | 0.37 |
| Jiangtian Nie | 3 | 97 | 10.96 |
| Neeraj Kumar | 4 | 2889 | 236.13 |
| Yang Zhang | 5 | 313 | 19.51 |
| Zehui Xiong | 6 | 586 | 54.94 |
| Zehui Xiong | 7 | 586 | 54.94 |