Artifact Reduction in Undersampled 3D Cone-Beam CTs Using a Hybrid 2D-3D CNN Framework
A computationally efficient hybrid deep-learning framework that combines the strengths of 2D and 3D models is proposed that presents a robust and efficient solution for high-quality 3D CT image post-processing.
J. Thalhammer, T. Dorosti, S. Peterhansl et al.
· 2025 IEEE Nuclear Science Sy... · 0 citations