A deep learning-based framework for retinal fundus image enhancement

PROBLEM: Low-quality fundus images with complex degredation can cause costly re-examinations of patients or inaccurate clinical diagnosis. AIM: This study aims to create an automatic fundus macular image enhancement framework to improve low-quality fundus images and remove complex image degradation....

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Kang Geon, Song, Su Jeong, Lee, Soochahn, Yu, Hyeong Gon, Kim, Dong Ik, Lee, Kyoung Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019688/
https://www.ncbi.nlm.nih.gov/pubmed/36928209
http://dx.doi.org/10.1371/journal.pone.0282416

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019688/
https://www.ncbi.nlm.nih.gov/pubmed/36928209
http://dx.doi.org/10.1371/journal.pone.0282416

Ejemplares similares