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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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Detalhes bibliográficos
Publicado no:Journal of King Saud University - Computer and Information Sciences
Main Authors: Mostafiz, Rafid, Uddin, Mohammad Shorif, Alam, Nur-A-, Mahfuz Reza, Md., Rahman, Mohammad Motiur
Formato: Artigo
Idioma:Inglês
Publicado em: The Authors. Published by Elsevier B.V. on behalf of King Saud University. 2022
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Acesso em linha: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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