arxivcs.CV2026-07-24
SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images
Baptiste Podvin, Alexandre Ancel, Flavio Milana, Chiara Innocenzi, Davide Arrigo, Federico Espinola Schulze, et al.
Interactive deep image segmentation enables efficient medical image annotation by iteratively refining predictions from user prompts, such as positive and negative clicks. Recent patch-based methods, including nnInteractive, achieve strong segmentation performance but remain limi…