KitwareMedical/SlicerNNUnet
3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.
This tool helps medical professionals, researchers, and clinicians quickly apply pre-trained AI models to 3D medical images within the 3D Slicer environment. You provide a 3D medical image (like a CT scan) and a trained nnUNet model, and it outputs a segmented image highlighting specific anatomical structures or lesions. This streamlines tasks like quantifying organ volumes or identifying diseased regions, making advanced image analysis accessible.
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Use this if you need to perform automated segmentation of medical images using nnUNet models and visualize/edit the results directly within 3D Slicer.
Not ideal if you need to train new nnUNet models from scratch, as this tool focuses on deploying and running existing trained models.
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56
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16
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jun 24, 2025
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