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...

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Detalles Bibliográficos
Autores principales: Patro, Kiran Kumar, Allam, Jaya Prakash, Hammad, Mohamed, Tadeusiewicz, Ryszard, Pławiak, Paweł
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
Materias:
Original Research Article
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

Internet

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

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