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Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT

With coronavirus disease 2019 (COVID-19) cases rising rapidly, deep learning has emerged as a promising diagnosis technique. However, identifying the most accurate models to characterize COVID-19 patients is challenging because comparing results obtained with different types of data and acquisition...

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Detalles Bibliográficos
Autores principales:	Garg, Aksh, Salehi, Sana, Rocca, Marianna La, Garner, Rachael, Duncan, Dominique
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Ltd. 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769906/ https://www.ncbi.nlm.nih.gov/pubmed/35075334 http://dx.doi.org/10.1016/j.eswa.2022.116540

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