Physics-driven learning of Wasserstein GAN for density reconstruction in dynamic tomography
Object density reconstruction from projections containing scattered radiation and noise is of critical importance in many applications. Existing scatter correction and density reconstruction methods may not provide the high accuracy needed in many applications and can break down in the presence of u...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Optica Publishing Group (formerly OSA)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |