A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.
- DOI
- 10.1109/tmbmc.2021.3099367
- Published
- 2022 Mar
- Container
- IEEE transactions on molecular, biological, and multi-scale communications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/tmbmc.2021.3099367,
title = {A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.},
author = {Fang Z and Ren J and MacLellan C and Li H and Zhao H and Hussain A and Fortino G},
year = {2022},
journal = {IEEE transactions on molecular, biological, and multi-scale communications},
doi = {10.1109/tmbmc.2021.3099367},
url = {https://doi.org/10.1109/tmbmc.2021.3099367}
}RIS
TY - JOUR TI - A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images. AU - Fang Z AU - Ren J AU - MacLellan C AU - Li H AU - Zhao H AU - Hussain A AU - Fortino G PY - 2022 JO - IEEE transactions on molecular, biological, and multi-scale communications DO - 10.1109/tmbmc.2021.3099367 UR - https://doi.org/10.1109/tmbmc.2021.3099367 ER -
APA
Z, F., J, R., C, M., H, L., H, Z., A, H., & G, F. (2022). A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.. IEEE transactions on molecular, biological, and multi-scale communications. https://doi.org/10.1109/tmbmc.2021.3099367
Source records
- pubmed · retrieved 2026-11-10T20:33:45.950Z