A probabilistic vision-language adapter that models text tokens as Gaussian distributions and uses Mahalanobis distance for uncertainty-weighted alignment, improving medical image segmentation under data scarcity and domain shift.
Medical image analysis using convolutional neural net- works: a review,
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DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation
A probabilistic vision-language adapter that models text tokens as Gaussian distributions and uses Mahalanobis distance for uncertainty-weighted alignment, improving medical image segmentation under data scarcity and domain shift.