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A three-stage ensemble boosted convolutional neural network for classification and analysis of COVID-19 chest x-ray images
For the identification and classification of COVID-19, this research presents a three-stage ensemble boosted convolutional neural network model. A conventional segmentation model (ResUNet) is used to increase the model's performance in the initial step of processing the CXR datasets. In the sec...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Authors. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802500/ http://dx.doi.org/10.1016/j.ijcce.2022.01.004 |