Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19.
- DOI
- 10.1016/j.eswa.2023.120528
- Published
- 2023 Nov 1
- Container
- Expert systems with applications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.eswa.2023.120528,
title = {Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19.},
author = {Nahiduzzaman M and Goni MOF and Hassan R and Islam MR and Syfullah MK and Shahriar SM and Anower MS and Ahsan M and Haider J and Kowalski M},
year = {2023},
journal = {Expert systems with applications},
doi = {10.1016/j.eswa.2023.120528},
url = {https://doi.org/10.1016/j.eswa.2023.120528}
}RIS
TY - JOUR TI - Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19. AU - Nahiduzzaman M AU - Goni MOF AU - Hassan R AU - Islam MR AU - Syfullah MK AU - Shahriar SM AU - Anower MS AU - Ahsan M AU - Haider J AU - Kowalski M PY - 2023 JO - Expert systems with applications DO - 10.1016/j.eswa.2023.120528 UR - https://doi.org/10.1016/j.eswa.2023.120528 ER -
APA
M, N., MOF, G., R, H., MR, I., MK, S., SM, S., MS, A., M, A., J, H., & M, K. (2023). Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19.. Expert systems with applications. https://doi.org/10.1016/j.eswa.2023.120528
Source records
- pubmed · retrieved 2026-09-25T18:36:30.501Z