Perception-oriented generative adversarial network for retinal fundus image super-resolution.

Zhao, Liquan; Chi, Haotian; Zhong, Tie; Jia, Yanfei

Zhao, Liquan; Chi, Haotian; Zhong, Tie; Jia, Yanfei.

Afiliación

Zhao L; Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China.
Chi H; Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China.
Zhong T; Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China. Electronic address: zht@neepu.edu.cn.
Jia Y; College of Electric Power Engineering, Beihua University, Jilin, China.

Comput Biol Med ; 168: 107708, 2024 01.

Article en En | MEDLINE | ID: mdl-37995535

Asunto(s)

Artefactos; Retina; Fondo de Ojo; Retina/diagnóstico por imagen; Cara; Percepción; Procesamiento de Imagen Asistido por Computador

Palabras clave

Generative adversarial network; Image segmentation; Perceptual-oriented image super-resolution; Retinal fundus image

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Retina / Artefactos Idioma: En Revista: Comput Biol Med Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google