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Optimal Transport Metric Learning for Feature Alignment in Partially Supervised Segmentation
Multi-organ segmentation is often challenged by partially annotated datasets and domain shifts across different imaging sources. To address these limitations, we propose a two-stage learning framework that efficiently leverages partial supervision. In the first stage, the model learns from available
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