MAP-Diff: Multi-anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising
The paper introduces MAP-Diff, a multi-anchor guided diffusion method for progressive denoising of 3D whole-body low-dose PET scans. It is a research contribution presented at an international venue. The study focuses on improving PET image quality while reducing radiation exposure.
The paper introduces MAP-Diff, a multi-anchor guided diffusion method for progressive denoising of 3D whole-body low-dose PET scans. It is a research contribution presented at an international venue. The study focuses on improving PET image quality while reducing radiation exposure.
It aligns with Swiss AI’s focus on applying artificial intelligence to medical imaging and enhancing patient safety.
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