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Found 2 papers, 1 papers with code
Self-supervised OCT Image Denoising with Slice-to-Slice Registration and Reconstruction
Strong speckle noise is inherent to optical coherence tomography (OCT) imaging and represents a significant obstacle for accurate quantitative analysis of retinal structures which is key for advances in clinical diagnosis and monitoring of disease.
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
First, a teacher segmentation model is trained from the labeled samples using Bayesian deep learning.
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