Objective evaluation of deep uncertainty predictions for COVID-19 detection

Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical images. Existing studies mainly apply transfer learning and other data representation strategies to generate accurate point estimates. The generalization power of these networks is always questionable due to being...

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Detalles Bibliográficos
Autores principales: Asgharnezhad, Hamzeh, Shamsi, Afshar, Alizadehsani, Roohallah, Khosravi, Abbas, Nahavandi, Saeid, Sani, Zahra Alizadeh, Srinivasan, Dipti, Islam, Sheikh Mohammed Shariful
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763911/
https://www.ncbi.nlm.nih.gov/pubmed/35039620
http://dx.doi.org/10.1038/s41598-022-05052-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763911/
https://www.ncbi.nlm.nih.gov/pubmed/35039620
http://dx.doi.org/10.1038/s41598-022-05052-x

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