Papers › SlicerNNInteractive: A 3D Slicer extension for nnInteractive

SlicerNNInteractive: A 3D Slicer extension for nnInteractive

7 Apr 2025arXiv:2504.07991archive 2025-07-28

Coen de Vente, Kiran Vaidhya Venkadesh, Bram van Ginneken, Clara I. Sánchez

SlicerNNInteractive integrates nnInteractive, a state-of-the-art promptable deep learning-based framework for 3D image segmentation, into the widely used 3D Slicer platform. Our extension implements a client-server architecture that decouples computationally intensive model inference from the client-side interface. Therefore, SlicerNNInteractive eliminates heavy hardware constraints on the client-side and enables better operating system compatibility than existing plugins for nnInteractive. Running both the client and server-side on a single machine is also possible, offering flexibility across different deployment scenarios. The extension provides an intuitive user interface with all interaction types available in the original framework (point, bounding box, scribble, and lasso prompts), while including a comprehensive set of keyboard shortcuts for efficient workflow.

PaperPDFCode

Code

coendevente/nninteractive-slicer officialmentioned in papermentioned on GitHubpytorchApache-2.0 report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

Image SegmentationSemantic Segmentation

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Methods

SET

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections