Unsupervised deep learning based variational autoencoder model for COVID-19 diagnosis and classification

At present times, COVID-19 has become a global illness and infected people has increased exponentially and it is difficult to control due to the non-availability of large quantity of testing kits. Artificial intelligence (AI) techniques including machine learning (ML), deep learning (DL), and comput...

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Autores:
Mansour, Romany F.
Escorcia-Gutierrez, Jose
Gamarra, Margarita
Gupta, Deepak
Castillo, Oscar
kumar, sachin
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8759
Acceso en línea:
https://hdl.handle.net/11323/8759
https://doi.org/10.1016/j.patrec.2021.08.018
https://repositorio.cuc.edu.co/
Palabra clave:
COVID-19
Deep learning
Unsupervised learning
Variational autoencoder
Image classification
Rights
openAccess
License
CC0 1.0 Universal