Name
Title | ||
|---|---|---|
Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model |
Abstract | ||
|---|---|---|
•Cascaded CNN models achieved the effective selection of data with high confidence.•Proposed method achieved the automated LUS scoring of COVID-19 pneumonia patients.•The proposed method is further improved than the previous methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.bspc.2022.103561 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
LUS,Automated scoring,COVID-19 pneumonia,Cascaded model,Deep learning | Journal | 75 |
ISSN | Citations | PageRank |
1746-8094 | 1 | 0.34 |
References | Authors | |
2 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenyu Xing | 1 | 1 | 0.68 |
| Chao He | 2 | 1 | 0.34 |
| Jiawei Li | 3 | 1 | 1.36 |
| Wei Qin | 4 | 1 | 0.34 |
| Minglei Yang | 5 | 1 | 0.34 |
| Guannan Li | 6 | 1 | 0.34 |
| Qingli Li | 7 | 8 | 6.68 |
| Dean Ta | 8 | 2 | 3.47 |
| Gaofeng Wei | 9 | 1 | 0.34 |
| Wenfang Li | 10 | 1 | 0.34 |
| Jiangang Chen | 11 | 1 | 0.34 |