A feature selection strategy to optimize retinal vasculature segmentation

Diabetic retinopathy (DR) is a complication of diabetes mellitus that appears in the retina. Clinitians use retina images to detect DR pathological signs related to the occlusion of tiny blood vessels. Such occlusion brings a degenerative cycle between the breaking off and the new generation of thin...

Full description

Autores:

Escorcia-Gutierrez, Jose
Torrents-Barrena, Jordina
Gamarra, Margarita
Madera, Natasha
Romero-Aroca, Pedro
Valls, Aida
Puig, Domenec

Tipo de recurso:

Article of journal

Fecha de publicación:

2022

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/9061

Acceso en línea:

https://hdl.handle.net/11323/9061
https://repositorio.cuc.edu.co/

Palabra clave:

Diabetic retinopathy
Artificial neural networks
Decision trees
Support vector machines
Feature selection
Retinal vasculature segmentation

Rights

openAccess

License

© 1997-2020 TSP (Henderson, USA) unless otherwise stated