Computer-aided diagnosis for tuberculosis classification with water strider optimization algorithm

Computer-aided diagnosis (CAD) models exploit artificial intelligence (AI) for chest X-ray (CXR) examination to identify the presence of tuberculosis (TB) and can improve the feasibility and performance of CXR for TB screening and triage. At the same time, CXR interpretation is a time-consuming and...

Full description

Autores:

Escorcia-Gutierrez, José
Soto-Diaz, Roosvel
Madera, Natasha
Soto, Carlos
Burgos-Florez, Francisco
Rodríguez, Alexander
Mansour, Romany F.

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10111

Acceso en línea:

https://hdl.handle.net/11323/10111
https://repositorio.cuc.edu.co/

Palabra clave:

Computer-aided diagnosis
Water strider optimization
Deep learning
Chest x-rays
Transfer learning

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)