Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms

Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms

Abstract Background This study aimed to propose an automatic prediction of COVID-19 disease using chest CT images based on deep transfer learning models and machine learning (ML) algorithms. Results The dataset consisted of 5480 samples in two classes, including 2740 CT chest images of patients with...

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Detalles Bibliográficos
Main Authors: Seyed Masoud Rezaeijo, Mohammadreza Ghorvei, Razzagh Abedi-Firouzjah, Hesam Mojtahedi, Hossein Entezari Zarch
Formato: Artigo
Idioma:English
Publicado: SpringerOpen 2021-06-01
Series:The Egyptian Journal of Radiology and Nuclear Medicine
Subjects:
COVID-19
Chest CT images
Deep transfer learning
Machine learning
Acceso en liña:https://doi.org/10.1186/s43055-021-00524-y

Internet

https://doi.org/10.1186/s43055-021-00524-y

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