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

Internet

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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