CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation

ArXi:2603.06426v1 Announce Type: cross Interactive segmentation enables clinicians to guide annotation, but existing zero-shot models like nnInteractive fail to consistently reach expert-level performance across diverse medical imaging tasks. Because annotation campaigns produce a growing stream of task-specific labelled data, online adaptation of the segmentation model is a natural complement to zero-shot inference.