Analysis of pre-trained convolutional neural network models in diabetic retinopathy detection through retinal fundus images
Diabetic Retinopathy (DR) is a disease on the rise; as this is a complication of diabetes, it becomes an imminent fate in people who have not been treated correctly for the disease, resulting in possible loss of vision if not is detected in time. This disease affects the retina, and the diagnosis is...
- Autores:
-
Escorcia-Gutierrez, Jose
Cuello, Jose
Barraza, Carlos
Gamarra, Margarita
Romero-Aroca, Pedro
CAICEDO BRAVO, EDUARDO
Puig, Domenec
- Tipo de recurso:
- Part of book
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9481
- Acceso en línea:
- https://hdl.handle.net/11323/9481
https://doi.org/10.1007/978-3-031-10539-5_15
https://repositorio.cuc.edu.co/
- Palabra clave:
- Diabetic retinopathy
Retinal imaging
Image recognition
Convolutional neural network
Transfer learning
- Rights
- openAccess
- License
- © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG