Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images

Chest X-ray images are used in deep convolutional neural networks for the detection of COVID-19, the greatest human challenge of the 21st century. Robustness to noise and improvement of generalization are the major challenges in designing these networks. In this paper, we introduce a strategy for da...

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Detalles Bibliográficos
Autores principales: Momeny, Mohammad, Neshat, Ali Asghar, Hussain, Mohammad Arafat, Kia, Solmaz, Marhamati, Mahmoud, Jahanbakhshi, Ahmad, Hamarneh, Ghassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760424/
https://www.ncbi.nlm.nih.gov/pubmed/34352454
http://dx.doi.org/10.1016/j.compbiomed.2021.104704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760424/
https://www.ncbi.nlm.nih.gov/pubmed/34352454
http://dx.doi.org/10.1016/j.compbiomed.2021.104704

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