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...
- 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