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Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss function()
Recent studies have shown that computed tomography (CT) scan images can characterize COVID-19 disease in patients. Several deep learning (DL) methods have been proposed for diagnosis in the literature, including convolutional neural networks (CNN). But, with inefficient patient classification models...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Ltd.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659516/ https://www.ncbi.nlm.nih.gov/pubmed/36406625 http://dx.doi.org/10.1016/j.compeleceng.2022.108479 |