Pseudoaveraging for denoising of OCT angiography: a deep learning approach for image quality enhancement in healthy and diabetic eyes

Pseudoaveraging for denoising of OCT angiography: a deep learning approach for image quality enhancement in healthy and diabetic eyes

Abstract Background This study aimed to develop a deep learning (DL) algorithm that enhances the quality of a single-frame enface OCTA scan to make it comparable to 4-frame averaged scan without the need for the repeated acquisitions required for averaging. Methods Each of the healthy eyes and eyes...

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Bibliographic Details
Main Authors: Omar Abu-Qamar, Warren Lewis, Luisa S. M. Mendonca, Luis De Sisternes, Adam Chin, A. Yasin Alibhai, Isaac Gendelman, Elias Reichel, Stephanie Magazzeni, Sophie Kubach, Mary Durbin, Andre J. Witkin, Caroline R. Baumal, Jay S. Duker, Nadia K. Waheed
Format: Article
Language:English
Published: BMC 2023-10-01
Series:International Journal of Retina and Vitreous
Subjects:
Averaging
Image artifact
Deep learning
Denoising
Diabetic retinopathy
Image quality
Online Access:https://doi.org/10.1186/s40942-023-00486-5

Internet

https://doi.org/10.1186/s40942-023-00486-5

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