A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset

This paper aims to propose a high-speed and accurate fully-automated method to detect COVID-19 from the patient's chest CT scan images. We introduce a new dataset that contains 48,260 CT scan images from 282 normal persons and 15,589 images from 95 patients with COVID-19 infections. At the firs...

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Detalles Bibliográficos
Autores principales: Rahimzadeh, Mohammad, Attar, Abolfazl, Sakhaei, Seyed Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011666/
https://www.ncbi.nlm.nih.gov/pubmed/33821166
http://dx.doi.org/10.1016/j.bspc.2021.102588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011666/
https://www.ncbi.nlm.nih.gov/pubmed/33821166
http://dx.doi.org/10.1016/j.bspc.2021.102588

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