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Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data

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Abstract

We present a deep learning-based image reconstruction method in swept-source optical coherent tomography (OCT) using undersampled spectral data. This method can improve the imaging speed without the need for any hardware modifications.

© 2022 The Author(s)

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