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A GAN-based deep enhancer for quality enhancement of retinal images photographed by a handheld fundus camera
OBJECTIVE: Due to limited imaging conditions, the quality of fundus images is often unsatisfactory, especially for images photographed by handheld fundus cameras. Here, we have developed an automated method based on combining two mirror-symmetric generative adversarial networks (GANs) for image enha...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577846/ https://www.ncbi.nlm.nih.gov/pubmed/37846289 http://dx.doi.org/10.1016/j.aopr.2022.100077 |