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Evaluating deep learning predictions for COVID-19 from X-ray images using leave-one-out predictive densities
Early detection of the COVID-19 virus is an important task for controlling the spread of the pandemic. Imaging techniques such as chest X-ray are relatively inexpensive and accessible, but its interpretation requires expert knowledge to evaluate the disease severity. Several approaches for automatic...
Autores principales: | Hernández, Sergio, López-Córtes, Xaviera |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900537/ https://www.ncbi.nlm.nih.gov/pubmed/36778196 http://dx.doi.org/10.1007/s00521-023-08219-3 |
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