RA-CMF integrates conditional MeanFlow for trajectory-based image enhancement with an RL-driven policy for tile-wise adaptive refinement budgets, achieving average PSNR of 34.23 and SSIM of 0.95 on CT images with strong tumor ROI radiomic feature consistency.
Radiomics: Extracting more information from medical images using advanced feature analysis
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RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction
RA-CMF integrates conditional MeanFlow for trajectory-based image enhancement with an RL-driven policy for tile-wise adaptive refinement budgets, achieving average PSNR of 34.23 and SSIM of 0.95 on CT images with strong tumor ROI radiomic feature consistency.