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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

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