Cross-modal enhanced sparse CT imaging via null-space denoising diffusion with random medical measurement embedding
Recent advancements in diffusion models for sparse-view medical computed tomography (CT) have mitigated common issues in supervised deep learning, such as over-smoothing and limited generalization. However, these models often rely on lengthy sampling chains, leading to impractical computation times...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682500506X |
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