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

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

Abstract 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...

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Bibliographic Details
Main Authors: Xinyu Zhao, Bin Lv, Lihui Meng, Xia Zhou, Dongyue Wang, Wenfei Zhang, Erqian Wang, Chuanfeng Lv, Guotong Xie, Youxin Chen
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Ophthalmology
Subjects:
Optical coherence tomography
Deep learning
Image enhancement
Quantitative assessment
Online Access:https://doi.org/10.1186/s12886-022-02299-w

Internet

https://doi.org/10.1186/s12886-022-02299-w

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