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E-GCS: Detection of COVID-19 through classification by attention bottleneck residual network
BACKGROUND: Recently, the coronavirus disease 2019 (COVID-19) has caused mortality of many people globally. Thus, there existed a need to detect this disease to prevent its further spread. Hence, the study aims to predict COVID-19 infected patients based on deep learning (DL) and image processing. O...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier Ltd.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485443/ https://www.ncbi.nlm.nih.gov/pubmed/36158870 http://dx.doi.org/10.1016/j.engappai.2022.105398 |