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...

Descripción completa

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:
Research Article
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

Internet

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

Ejemplares similares