Injecting GPT-4o-generated textual anatomical priors as segmentation-head parameters improves class-imbalanced semi-supervised multi-organ segmentation.
Rep- resentation and fusion of heterogeneous fuzzy informa- tion in the 3d space for model-based structural recogni- tion—application to 3d brain imaging
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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.