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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2022
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| Materias: | |
| 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 |