A Framework for Guiding DDPM-Based Reconstruction of Damaged CT Projections Using Traditional Methods.
Denoising Diffusion Probabilistic Models (DDPM) have emerged as a promising generative framework for sample synthesis, yet their limitations in detail preservation hinder practical applications in computed tomography (CT) image reconstruction. To address these technical constraints and enhance recon...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 39; no. 3; pp. 2569 - 2582 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |