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Limited-view Cone Beam CT reconstruction using 3D Patch-based Supervised and Adversarial Learning

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Abstract

We present a novel multi-stage algorithm for CBCT reconstruction from very limited projections. Our proposed method uses 3D patch-based supervised and adversarial learning from scarce training data, combined with physics (forward) models and statistical priors.

© 2021 The Author(s)

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