SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

ArXi:2603.18544v1 Announce Type: cross Accurate segmentation of tissues and instruments in surgical scenes is annotation-intensive due to irregular shapes, thin structures, specularities, and frequent occlusions. While SAM models point, box, and mask prompts, points are often too sparse and boxes too coarse to localize such challenging targets. We present SCISSR, a scribble-promptable framework for interactive surgical scene segmentation. It