3D Slicer

3D Slicer is a free, open‑source platform for visualizing, processing, segmenting, registering, and analyzing three‑dimensional medical, biomedical, and other volumetric images and meshes. It supports a range of tasks such as creating surgical plans, generating atlases, and producing training data for deep‑learning models through modules like the Segment Editor. The software also provides tools for quantitative analysis, for example automated lung segmentation and COVID‑19 assessment, and integrates with image‑guided procedures, including real‑time surgical navigation and robot‑assisted interventions.

The system is targeted at clinicians, researchers, and developers who need to solve advanced image‑computing challenges in clinical or biomedical settings. It offers extensibility for custom solutions, with a community of users and contributors that maintains and expands its functionality. Specialized extensions enable tractography, adaptive radiation therapy, real‑time ultrasound reconstruction, and virtual‑reality interaction with 3D visualizations.

What distinguishes 3D Slicer is its comprehensive suite of modules covering the full workflow from data import to analysis and navigation, its support for a wide variety of imaging modalities, and its ability to connect with external hardware such as robots and VR devices, all while remaining freely available and cross‑platform on macOS.