Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images

In this work we implement a COVID-19 infection detection system based on chest X-ray images with uncertainty estimation. Uncertainty estimation is vital for safe usage of computer aided diagnosis tools in medical applications. Model estimations with high uncertainty should be carefully analyzed by a...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2021
Materias:
Computational and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545186/
https://www.ncbi.nlm.nih.gov/pubmed/34812397
http://dx.doi.org/10.1109/ACCESS.2021.3085418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545186/
https://www.ncbi.nlm.nih.gov/pubmed/34812397
http://dx.doi.org/10.1109/ACCESS.2021.3085418

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