S2DC combines dual-softmax patch correspondence with Sharpe-ratio-weighted structural consistency to learn structure-aware representations for 3D medical image self-supervised learning.
Prior knowledge-guided triple-domain transformer-gan for direct pet reconstruction from low-count sinograms
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Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning
S2DC combines dual-softmax patch correspondence with Sharpe-ratio-weighted structural consistency to learn structure-aware representations for 3D medical image self-supervised learning.