Potential diagnostic application of a novel deep learning- based approach for COVID-19.
- DOI
- 10.1038/s41598-023-50742-9
- Published
- 2024 Jan 2
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-023-50742-9,
title = {Potential diagnostic application of a novel deep learning- based approach for COVID-19.},
author = {Sadeghi A and Sadeghi M and Sharifpour A and Fakhar M and Zakariaei Z and Sadeghi M and Rokni M and Zakariaei A and Banimostafavi ES and Hajati F},
year = {2024},
journal = {Scientific reports},
doi = {10.1038/s41598-023-50742-9},
url = {https://doi.org/10.1038/s41598-023-50742-9}
}RIS
TY - JOUR TI - Potential diagnostic application of a novel deep learning- based approach for COVID-19. AU - Sadeghi A AU - Sadeghi M AU - Sharifpour A AU - Fakhar M AU - Zakariaei Z AU - Sadeghi M AU - Rokni M AU - Zakariaei A AU - Banimostafavi ES AU - Hajati F PY - 2024 JO - Scientific reports DO - 10.1038/s41598-023-50742-9 UR - https://doi.org/10.1038/s41598-023-50742-9 ER -
APA
A, S., M, S., A, S., M, F., Z, Z., M, S., M, R., A, Z., ES, B., & F, H. (2024). Potential diagnostic application of a novel deep learning- based approach for COVID-19.. Scientific reports. https://doi.org/10.1038/s41598-023-50742-9
Source records
- pubmed · retrieved 2026-11-10T13:21:10.870Z