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Semantic-guided preprocessing boosts CCRCC grading accuracy by 21 percentage points, effectively merging fine-grained nuclear analysis with ViT-based classification.
STEAM achieves superior EEG decoding performance with a novel hierarchical pre-training approach that enhances model specialization without starting from scratch.
