AI Toolkit for Healthcare Imaging

Multi-platform, free open source software for visualization and image computing.

Template to be used as a starting point for creating a custom 3D Slicer application

Utility extension for 3D Slicer, containing tools and algorithms for building image guided surgery applications

Scripts allowing to easily build Qt with OpenSSL support on Linux, MacOSX or Windows

A cmake buildsystem for compiling Python

Collection of scripts used to configure/build/test/package 3D Slicer and associated extensions

A set of common support code for medical imaging, surgical navigation, and related purposes.

zlib replacement with optimizations for "next generation" systems.

Plus is an open-source software toolkit for data acquisition, pre-processing, and calibration for navigated image-guided interventions.

Plus is an open-source software toolkit for data acquisition, pre-processing, and calibration for navigated image-guided interventions.

MONAI Label is an intelligent open source image labeling and learning tool.

General-purpose features that may be integrated into VTK library in the future.

Slicer extensions index

3D Slicer extension for accessing HD-BET brain extraction tool for skull stripping in brain MRI images.

Slicer Module to calculate the diffusion tensor image analysis along the perivascular space (DTI-ALPS)

An open-source CMake-based project that provides macros and associated tools for the easy building of 3D Slicer command line interface (CLI) modules.

Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model

3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.

Tool for robust segmentation of >100 important anatomical structures in CT images

Install PyTorch distributions with computation backend auto-detection

slicer.org website landing page

An interactive registration tool that manages viewing and manipulating of sets of fiducials

An extension module designated to clip models with multiple planes.

Extension for the Brain Volume Refinement methods (BVeR)

3D Slicer extension that provides a toolkit for Multiple Sclerosis lesion simulation in multimodal MRI images, such as T1, T2, T2-FLAIR and DTI scalar maps.

3D Slicer extension that provides T2-FLAIR MRI manipulation methods in order to increase contrast and segment hyperintense Multiple Sclerosis lesions

3D Slicer extension to offer a brain extraction algorithm for MRI structural images. This extension has the ROBEX brain extraction implementation.

A collection of tools and algorithms for image guided systems