SlicerNNInteractive: A 3D Slicer extension for nnInteractive

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Authors: Coen de Vente, Kiran Vaidhya Venkadesh, Andras Lasso, Bram van Ginneken, Clara Isabel Sánchez
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Abstract

SlicerNNInteractive integrates nnInteractive (Isensee et al., 2025), a state-of-the-art promptable deep learning-based framework for 3D image segmentation, into the widely used 3D Slicer (Kikinis et al., 2014) (https://slicer.org)platform.Our extension implements a client-server architecture that decouples the 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 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.

Fields of Study & Subjects

Human Pose and Action Recognition Human Motion and Animation Robot Manipulation and Learning

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
123
Pages
9003–9003
Publication date
6 July 2026
Language
EN