COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions

Classification of COVID-19 X-ray images to determine the patient’s health condition is a critical issue these days since X-ray images provide more information about the patient’s lung status. To determine the COVID-19 case from other normal and abnormal cases, this work proposes an alternative metho...

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Detalles Bibliográficos
Autores principales: Yousri, Dalia, Abd Elaziz, Mohamed, Abualigah, Laith, Oliva, Diego, Al-qaness, Mohammed A.A., Ewees, Ahmed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837203/
https://www.ncbi.nlm.nih.gov/pubmed/33519325
http://dx.doi.org/10.1016/j.asoc.2020.107052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837203/
https://www.ncbi.nlm.nih.gov/pubmed/33519325
http://dx.doi.org/10.1016/j.asoc.2020.107052

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