Injecting GPT-4o-generated textual anatomical priors as segmentation-head parameters improves class-imbalanced semi-supervised multi-organ segmentation.
Orthogonal annotation benefits barely- supervised medical image segmentation
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Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation
Injecting GPT-4o-generated textual anatomical priors as segmentation-head parameters improves class-imbalanced semi-supervised multi-organ segmentation.