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Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features
Chest X-ray image contains sufficient information that finds wide-spread applications in diverse disease diagnosis and decision making to assist the medical experts. This paper has proposed an intelligent approach to detect Covid-19 from the chest X-ray image using the hybridization of deep convolut...
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| Publié dans: | Journal of King Saud University - Computer and Information Sciences |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
The Authors. Published by Elsevier B.V. on behalf of King Saud University.
2022
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7834658/ https://ncbi.nlm.nih.gov/pubmed/38620614 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jksuci.2020.12.010 |
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