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.
Computational radiomics system to decode the radiographic phenotype,
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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.