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CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds

Since the COronaVIrus Disease 2019 (COVID-19) outbreak, developing a digital diagnostic tool to detect COVID-19 from respiratory sounds with computer audition has become an essential topic due to its advantages of being swift, low-cost, and eco-friendly. However, prior studies mainly focused on smal...

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Detalles Bibliográficos
Autores principales: Chang, Yi, Jing, Xin, Ren, Zhao, Schuller, Björn W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761863/
https://www.ncbi.nlm.nih.gov/pubmed/35047869
http://dx.doi.org/10.3389/fdgth.2021.799067