2026
Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models
CVPR 2026
Medical image segmentation supports clinical workflows by precisely delineating anatomical structures and lesions. However, medical image datasets medical image datasets suffer from acquisition noise and annotation ambiguity, causing pervasive data uncertainty that substantially undermines model rob