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papersSEP 10 04:00 UTC

Study Quantifies Text Branch Sensitivity in Medical Vision-Language Segmentation

Researchers on arXiv examine whether clinical text inputs genuinely drive pixel-level predictions in pretrained vision-language models for medical image segmentation. They propose an evidence-decoupling approach to characterize the sensitivity of the text branch, aiming to clarify the real contribution of textual information to segmentation outputs.

arXivevidence-decouplingmedical image segmentationtext branch sensitivityvision-language models

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AICharacterizing Text Branch Sensitivity in Medical Vision-Language Segmentation via Evidence Decoupling ↗SEP 10 04:00 UTC

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