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...

Full description

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