Name
Title | ||
|---|---|---|
A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images |
Abstract | ||
|---|---|---|
To suppress the spread of COVID-19, accurate diagnosis at an early stage is crucial, chest screening with radiography imaging plays an important role in addition to the real-time reverse transcriptase polymerase chain reaction (RT-PCR) swab test. Due to the limited data, existing models suffer from incapable feature extraction and poor network convergence and optimization. Accordingly, a multi-sta... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMBMC.2021.3099367 | IEEE Transactions on Molecular, Biological and Multi-Scale Communications |
Keywords | DocType | Volume |
COVID-19,Pulmonary diseases,Feature extraction,Data models,Testing,X-ray imaging,Training | Journal | 8 |
Issue | ISSN | Citations |
1 | 2332-7804 | 1 |
PageRank | References | Authors |
0.36 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenyu Fang | 1 | 1 | 0.36 |
| Jinchang Ren | 2 | 1144 | 88.54 |
| Calum MacLellan | 3 | 1 | 0.36 |
| Huihui Li | 4 | 41 | 7.55 |
| Huimin Zhao | 5 | 206 | 23.43 |
| Amir Hussain | 6 | 672 | 67.84 |
| Antonio Guerrieri | 7 | 327 | 29.14 |