MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images
Author:
Funder
National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s13755-022-00174-y.pdf
Reference33 articles.
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2. Xu X, et al. A deep learning system to screen novel coronavirus disease 2019 pneumonia. Engineering. 2020;6(10):1122–9. https://doi.org/10.1016/j.eng.2020.04.010.
3. Oh Y, Park S, Ye JC. Deep learning COVID-19 features on CXR using limited training data sets. IEEE Trans Med Imaging. 2020;39(8):2688–700. https://doi.org/10.1109/TMI.2020.2993291.
4. Roy S, et al. Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound. IEEE Trans Med Imaging. 2020;39(8):2676–87. https://doi.org/10.1109/TMI.2020.2994459.
5. Wang S, et al. A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis. Eur Respir J. 2020;56(2):2000775. https://doi.org/10.1183/13993003.00775-2020.
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