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Densely connected attention network for diagnosing COVID-19 based on chest CT
BACKGROUND: To fully enhance the feature extraction capabilities of deep learning models, so as to accurately diagnose coronavirus disease 2019 (COVID-19) based on chest CT images, a densely connected attention network (DenseANet) was constructed by utilizing the self-attention mechanism in deep lea...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427919/ https://www.ncbi.nlm.nih.gov/pubmed/34520988 http://dx.doi.org/10.1016/j.compbiomed.2021.104857 |