A comprehensive review of extreme learning machine on medical imaging
The feedforward neural network based on randomization has been of great interest in the scientific community, particularly extreme learning machines, due to its simplicity, training speed, and levels of accuracy comparable to traditional learning algorithms. Extreme learning machines (ELMs) are a ty...
- Autores:
-
Huérfano Maldonado, Yoleidy
Mora, Marco
Vilches, Karina
Hernández García, Ruber
Gutiérrez, Rodrigo
Vera, Miguel
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/16113
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/16113
https://doi.org/10.1016/j.neucom.2023.126618
https://www.sciencedirect.com/science/article/pii/S0925231223007415
- Palabra clave:
- Extreme learning machine
Medical imaging
Supervised training
Unsupervised training
Semi-supervised training
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivs 3.0 United States