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A hybrid CUDA-based execution method combining data-level and task-level parallelism reduces runtime by 20% to 30% for wavelet-based denoising of 2D magnetic resonance images while maintaining high reconstruction quality. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Hybrid CUDA acceleration of wavelet-based MRI image denoising

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