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An Improved Crow Search Optimization with Bi-LSTM Model for Identification and Classification of COVID-19 Infection from Chest X-Ray Images
Deep learning has become an effective detection method as coronavirus disease 2019 (COVID-19) incidences are increasing quickly. Nevertheless, finding the best accurate models for describing COVID-19 patients is difficult since comparing the outcomes of different data kinds and collecting procedures...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281227/ http://dx.doi.org/10.1016/j.aej.2023.06.052 |