Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

INTRODUCTION: In humanity’s ongoing fight against its common enemy of COVID-19, researchers have been relentless in finding efficient technologies to support mitigation, diagnosis, management, contact tracing, and ultimately vaccination. OBJECTIVES: Engineers and computer scientists have deployed th...

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Detalles Bibliográficos
Autores principales: Hammad, Mohamed, Tawalbeh, Lo'ai, Iliyasu, Abdullah M., Sedik, Ahmed, Abd El-Samie, Fathi E., Alkinani, Monagi H., Abd El-Latif, Ahmed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. on behalf of King Saud University. 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832871/
https://www.ncbi.nlm.nih.gov/pubmed/35185304
http://dx.doi.org/10.1016/j.jksus.2022.101898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832871/
https://www.ncbi.nlm.nih.gov/pubmed/35185304
http://dx.doi.org/10.1016/j.jksus.2022.101898

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