Challenges of deep learning methods for COVID-19 detection using public datasets

Since the COVID-19 pandemic, several research studies have proposed Deep Learning (DL)-based automated COVID-19 detection, reporting high cross-validation accuracy when classifying COVID-19 patients from normal or other common Pneumonia. Although the reported outcomes are very high in most cases, th...

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Detalles Bibliográficos
Autores principales: Hasan, Md. Kamrul, Alam, Md. Ashraful, Dahal, Lavsen, Roy, Shidhartho, Wahid, Sifat Redwan, Elahi, Md. Toufick E., Martí, Robert, Khanal, Bishesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005223/
https://www.ncbi.nlm.nih.gov/pubmed/35434261
http://dx.doi.org/10.1016/j.imu.2022.100945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005223/
https://www.ncbi.nlm.nih.gov/pubmed/35434261
http://dx.doi.org/10.1016/j.imu.2022.100945

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