Characterizing Text Branch Sensitivity in Medical Vision-Language Segmentation via Evidence Decoupling

Pretrained vision-language models (VLMs) have shown promising performance in medical image segmentation by incorporating clinical text. However, it remains unclear how much textual information actually contributes to pixel-level predictions. In this work, we systematically investigate the role of te