3D Slicer

slicer.org · checked 14 Nov 2026

#3 · AI Image Segmentation Software

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How it plugs in

—Public API

NoOpen source

YesFree tier

Signal on AI Image Segmentation Software6.3#3 of 33

3D Slicer is software for visualizing, processing, segmenting, registering, and analyzing medical, biomedical, and other 3D images and meshes, and for planning and navigating image-guided procedures.

Pricing

3D SlicerFree; no charge stated · No stated usage restrictions · Research use; not approved for clinical useFree

As slicer.readthedocs.io lists them, checked 14 Nov 2026.

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Runs on

Web
Windows
Mac
Linux
iOS
Android

Facts

Website: slicer.org
Price: Free tier
Free trial: No
Clinical-use limitation: The software is intended for research and is not approved for clinical use; users are responsible for permissions and regulatory compliance.
Cloud options: The site describes running Slicer in a browser, Docker container, or Jupyter notebook kernel.
Data formats: The documentation describes loading DICOM and non-DICOM data, including image, model, table, and point-list formats.
DICOM interoperability: Features include DICOM import and export, DICOMweb, and classic DIMSE networking.
Download integrity: The download page provides SHA512 checksums to check packages for tampering or corruption.
Extensibility: Users can extend Slicer with modules, Python scripts, or custom Python and C++ modules; the site lists over 150 extensions.
Imaging modalities: It supports multimodality imaging including MRI, CT, ultrasound, nuclear medicine, and microscopy.
Intended users: It is desktop software for advanced image-computing challenges, especially clinical and biomedical applications, and a platform for building custom solutions.
License and commercial use: The project states that Slicer is free and open source under a BSD-style license and invites commercial use.
Programming and notebooks: Slicer has a built-in Python environment and console, and can act as a Jupyter notebook kernel with remote 3D rendering.
Segmentation and registration: The platform provides 2D/3D/4D image segmentation and tools for manual and automatic spatial registration.
Support: The project directs users to its community forum, documentation, and training resources.

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