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SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
BACKGROUND AND OBJECTIVE: The global population has been heavily impacted by the COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and new spikes (Delta, Delta Plus, and Omicron) are still being made. The real-time reverse transcription-polymerase chain reaction (R...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. Published by Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928742/ https://www.ncbi.nlm.nih.gov/pubmed/36819118 http://dx.doi.org/10.1016/j.bbe.2023.01.005 |