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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.07991 |
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| _version_ | 1866917985631862784 |
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| author | de Vente, Coen Venkadesh, Kiran Vaidhya van Ginneken, Bram Sánchez, Clara I. |
| author_facet | de Vente, Coen Venkadesh, Kiran Vaidhya van Ginneken, Bram Sánchez, Clara I. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07991 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SlicerNNInteractive: A 3D Slicer extension for nnInteractive de Vente, Coen Venkadesh, Kiran Vaidhya van Ginneken, Bram Sánchez, Clara I. Image and Video Processing 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. |
| title | SlicerNNInteractive: A 3D Slicer extension for nnInteractive |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2504.07991 |