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Anatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging
DOI:10.1016/j.media.2025.103831.png)
Abstract
En 中文
• Developing an anatomically and metabolically informed diffusion model for low-count PET analysis, enabling clinical metric quantification directly from low-count inputs. • Exploring the synergies between denoising and lesion/organ segmentation in PET imaging. • Conducting extensive experiments on multi-vendor, multi-center, and multi-noise-level datasets.
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