DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation
DistMedVL is proposed, a probabilistic vision-language framework that introduces a lightweight Probabilistic Cross-Modal Adapter (PCM-Adapter) upon frozen encoders to explicitly model representational uncertainty, exhibiting superior data efficiency, perturbation robustness and cross-dataset generalization.