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Deep Auxiliary Learning via Bilevel Feature Optimization for Label-Efficient Medical Image Segmentation
Auxiliary learning (AL), which can improve the performance of a primary task by leveraging related auxiliary tasks, is commonly regarded as a special case of multi-task learning. Existing AL approaches typically require manually annotated auxiliary labels, increasing annotation costs, particularly i
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