arXiv cs.CV
· Papers
Context Matters: Support Set Selection and Failure Detection for In-Context Medical Image Segmentation
arXiv:2608.05333v1 Announce Type: new Abstract: In-context learning (ICL) adapts medical image segmentation models to unseen structures and modalities without retraining by conditioning on a task-specific support set of image-mask exemplars. Because this support set is the model's only task-specific signal, its composi