Low Dose CBCT Denoising Using a 3D U-Net
Author:
Affiliation:
1. Argonne National Laboratory,Lemont,IL
2. Loyola University Chicago,Maywood,IL
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625769/10625780/10627237.pdf?arnumber=10627237
Reference13 articles.
1. Cancer Risks from CT Scans: Now We Have Data, What Next?
2. Analytical Low-Dose CBCT Reconstruction Using Non-local Total Variation Regularization for Image Guided Radiation Therapy
3. Non-local total-variation (NLTV) minimization combined with reweighted L1-norm for compressed sensing CT reconstruction
4. Low-dose CBCT reconstruction via joint non-local total variation denoising and cubic B-spline interpolation
5. Mutual Information-Based Non-Local Total Variation Denoiser for Low-Dose Cone-Beam Computed Tomography
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
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