Ensemble-based bag of features for automated classification of normal and COVID-19 CXR images.
- DOI
- 10.1016/j.bspc.2021.102656
- Published
- 2021 Jul
- Container
- Biomedical signal processing and control
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.bspc.2021.102656,
title = {Ensemble-based bag of features for automated classification of normal and COVID-19 CXR images.},
author = {Ashour AS and Eissa MM and Wahba MA and Elsawy RA and Elgnainy HF and Tolba MS and Mohamed WS},
year = {2021},
journal = {Biomedical signal processing and control},
doi = {10.1016/j.bspc.2021.102656},
url = {https://doi.org/10.1016/j.bspc.2021.102656}
}RIS
TY - JOUR TI - Ensemble-based bag of features for automated classification of normal and COVID-19 CXR images. AU - Ashour AS AU - Eissa MM AU - Wahba MA AU - Elsawy RA AU - Elgnainy HF AU - Tolba MS AU - Mohamed WS PY - 2021 JO - Biomedical signal processing and control DO - 10.1016/j.bspc.2021.102656 UR - https://doi.org/10.1016/j.bspc.2021.102656 ER -
APA
AS, A., MM, E., MA, W., RA, E., HF, E., MS, T., & WS, M. (2021). Ensemble-based bag of features for automated classification of normal and COVID-19 CXR images.. Biomedical signal processing and control. https://doi.org/10.1016/j.bspc.2021.102656
Source records
- pubmed · retrieved 2026-09-26T10:59:17.865Z