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Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction

CoRR(2024)

Cited 0|Views9
Key words
Deep learning,3D inverse problem,image reconstruction,denoising,sparse-view,computed tomography,2.5D network,inertial confinement fusion
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