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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Bibliografiske detaljer
Udgivet i:PLoS One
Main Authors: Çallı, Erdi, Murphy, Keelin, Kurstjens, Steef, Samson, Tijs, Herpers, Robert, Smits, Henk, Rutten, Matthieu, van Ginneken, Bram
Format: Artigo
Sprog:Inglês
Udgivet: Public Library of Science 2021
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8323880/
https://ncbi.nlm.nih.gov/pubmed/34329354
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0255301
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