MONAI Label is an intelligent open source image labeling and learning tool.
3D Slicer Plugin for Segment anything in medical images
Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model
Extension for 3D Slicer that allows the application to be used from Jupyter notebook
3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.
A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS
A 3D Slicer extension for efficient segmentation with nnInteractive.
Extension for 3D Slicer for running MONAI Auto3DSeg models
Extension to import microCT data and conduct 3D morphometrics in Slicer
This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
Slicer extensions index
This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill in collaboration with the University of Michigan in Ann Arbor.
3D Slicer extension for Segment Anything Model (SAM) developed by Meta
3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.
An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.
This extension makes available Elastix medical image registration toolkit (http://elastix.isi.uu.nl/) available in Slicer.
Many additional segmentation tools for 3D Slicer's Segment Editor
This extension contains only a module with some tools to install PyTorch inside Slicer, using the best possible version.
3D Slicer plugin for Liver Anatomy Annotation by R-Vessel-X
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