Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19
- DOI
- 10.1016/j.eswa.2022.119095
- Published
- 2023-03
- Container
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.eswa.2022.119095,
title = {Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19},
author = {Songwei Zhao and Pengjun Wang and Ali Asghar Heidari and Xuehua Zhao and Huiling Chen},
year = {2023},
journal = {Expert Systems with Applications},
doi = {10.1016/j.eswa.2022.119095},
url = {https://doi.org/10.1016/j.eswa.2022.119095}
}RIS
TY - JOUR TI - Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19 AU - Songwei Zhao AU - Pengjun Wang AU - Ali Asghar Heidari AU - Xuehua Zhao AU - Huiling Chen PY - 2023 JO - Expert Systems with Applications DO - 10.1016/j.eswa.2022.119095 UR - https://doi.org/10.1016/j.eswa.2022.119095 ER -
APA
Zhao, S., Wang, P., Heidari, A. A., Zhao, X., & Chen, H. (2023). Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2022.119095
Source records
- crossref · retrieved 2026-09-25T15:48:08.223Z