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Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study

Rapid diagnosis of the Covid-19 disease is the best way to prevent infection. In this paper, it is proposed to use machine learning methods to aid diagnoses quickly Covid-19 and focused on effect of several features on classification accuracy. In the proposed method 746 axial computed tomography (CT...

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Detalles Bibliográficos
Autores principales: Al-Areqi, Farid, Konyar, Mehmet Zeki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947946/
https://www.ncbi.nlm.nih.gov/pubmed/35350595
http://dx.doi.org/10.1016/j.bspc.2022.103662

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