Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images

Deep convolutional neural networks (CNNs) are used for the detection of COVID-19 in X-ray images. The detection performance of deep CNNs may be reduced by noisy X-ray images. To improve the robustness of a deep CNN against impulse noise, we propose a novel CNN approach using adaptive convolution, wi...

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Detalles Bibliográficos
Autores principales: Akbarimajd, Adel, Hoertel, Nicolas, Hussain, Mohammad Arafat, Neshat, Ali Asghar, Marhamati, Mahmoud, Bakhtoor, Mahdi, Momeny, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259198/
https://www.ncbi.nlm.nih.gov/pubmed/35818367
http://dx.doi.org/10.1016/j.jocs.2022.101763

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259198/
https://www.ncbi.nlm.nih.gov/pubmed/35818367
http://dx.doi.org/10.1016/j.jocs.2022.101763

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