Dakini Mallam Garba

Optimal Transport Metric Learning for Feature Alignment in Partially Supervised Segmentation

A two-stage learning framework that efficiently leverages partial supervision and introduces learnable organ prototypes and a Sinkhorn-triplet loss to enforce organ-wise feature consistency across datasets, making it particularly suitable for medical image segmentation tasks with limited annotation resources.