Development and quantitative assessment of deep learning-based image enhancement for optical coherence tomography

PURPOSE: To develop a deep learning-based framework to improve the image quality of optical coherence tomography (OCT) and evaluate its image enhancement effect with the traditional image averaging method from a clinical perspective. METHODS: 359 normal eyes and 456 eyes with various retinal conditi...

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Detalles Bibliográficos
Autores principales: Zhao, Xinyu, Lv, Bin, Meng, Lihui, Zhou, Xia, Wang, Dongyue, Zhang, Wenfei, Wang, Erqian, Lv, Chuanfeng, Xie, Guotong, Chen, Youxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962520/
https://www.ncbi.nlm.nih.gov/pubmed/35346124
http://dx.doi.org/10.1186/s12886-022-02299-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962520/
https://www.ncbi.nlm.nih.gov/pubmed/35346124
http://dx.doi.org/10.1186/s12886-022-02299-w

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