SSN2V: unsupervised OCT denoising using speckle split
Abstract Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach. Especially unsupervised denoising is an interesting top...
Main Authors: | Julia Schottenhamml, Tobias Würfl, Stefan B. Ploner, Lennart Husvogt, Bettina Hohberger, James G. Fujimoto, Andreas Maier |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-06-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-37324-5 |
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