A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation

OBJECTIVE: This study aims to develop a lightweight convolutional neural network-based edge federated learning architecture for COVID-19 detection using X-ray images, aiming to minimize computational cost, latency, and bandwidth requirements while preserving patient privacy. METHOD: The proposed met...

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Detalles Bibliográficos
Autores principales: Alvi, Sohaib Bin Khalid, Nayyer, Muhammad Ziad, Jamal, Muhammad Hasan, Raza, Imran, de la Torre Diez, Isabel, Velasco, Carmen Lili Rodriguez, Brenosa, Jose Manuel, Ashraf, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548806/
https://www.ncbi.nlm.nih.gov/pubmed/37799499
http://dx.doi.org/10.1177/20552076231203604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548806/
https://www.ncbi.nlm.nih.gov/pubmed/37799499
http://dx.doi.org/10.1177/20552076231203604

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