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Scatter Removal in Dynamic X-Ray Tomography using Learned Robust Features

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Abstract

A challenging problem in industrial radiography is accurate density reconstructions from X-ray projections corrupted by noise, scatter, etc. We propose a deep learning-based framework to extract robust features from radiographs and reconstruct the underlying densities.

© 2023 The Author(s)

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