Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image

Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image

Optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiple scattered photons owing to its low-coherence interferometry property. Although various deep learning schemes have been proposed for OCT despeckling, they typically suffer from the requireme...

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Bibliographic Details
Main Authors: Ge, Chenkun, Yu, Xiaojun, Yuan, Miao, Fan, Zeming, Chen, Jinna, Shum, Perry Ping, Liu, Linbo
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Interferometry
Optical coherence tomography
Online Access:https://hdl.handle.net/10356/178489

Internet

https://hdl.handle.net/10356/178489

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