UniPET proposes a universal PET denoising network with style alignment network (SAN) and region-aware learning strategy (RALS) to handle varied dose reduction factors via domain generalization.
IEEE Transactions on Medical Imaging 38, 1328–1339
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UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors
UniPET proposes a universal PET denoising network with style alignment network (SAN) and region-aware learning strategy (RALS) to handle varied dose reduction factors via domain generalization.