UniH3 leverages anatomical homogeneity across modalities using a Hierarchical Homogeneity Memory (H2M) module for all-in-one medical image restoration. The framework combines inter-task heterogeneity modeling with shared anatomical structure distillation to improve generalization.
HOW THIS AFFECTS YOU
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researcherThis offers a more efficient way to train universal models for diverse medical imaging degradations.
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healthImproved restoration models can enhance the clarity of diagnostic medical imagery.