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Deep learning with robustness to missing data: A novel approach to the detection of COVID-19

In the context of the current global pandemic and the limitations of the RT-PCR test, we propose a novel deep learning architecture, DFCN (Denoising Fully Connected Network). Since medical facilities around the world differ enormously in what laboratory tests or chest imaging may be available, DFCN...

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Detalles Bibliográficos
Autores principales: Çallı, Erdi, Murphy, Keelin, Kurstjens, Steef, Samson, Tijs, Herpers, Robert, Smits, Henk, Rutten, Matthieu, van Ginneken, Bram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323880/
https://www.ncbi.nlm.nih.gov/pubmed/34329354
http://dx.doi.org/10.1371/journal.pone.0255301