ITK-SNAP vs 3D Slicer
Side-by-side comparison for macOS
ITK-SNAP
5.0Segment structures in 3D medical images
3D Slicer
8.0Medical image processing and visualization system
| Metric | ITK-SNAP | 3D Slicer |
|---|---|---|
| Category | Science | Science |
| AI Score | 5.0 | 8.0 |
| 30-day Installs | 22 | 78 |
| 90-day Installs | 86 | 210 |
| 365-day Installs | 275 | 659 |
| Version | 4.4.0,20250909 | 5.12.0,6a3ba6f43e1fb85a5847129b |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 3 | — |
| GitHub Forks | 2 | — |
| Open Issues | - | — |
| License | GPL-3.0 | — |
| Language | C++ | — |
| Last GitHub Commit | 11y ago | — |
| First Seen | Aug 12, 2017 | Aug 9, 2023 |
Reviews
ITK-SNAP
ITK-SNAP is a specialized tool for segmenting structures in 3D medical images, making it invaluable for medical researchers and professionals. It offers cross-platform support and is open-source, allowing for customization and transparency.
Segments structures in 3D medical images for research and diagnostic purposes.
Pros
- + Essential tool for medical image segmentation
- + Open-source with customization capabilities
- + Cross-platform support
Cons
- - No auto-update feature
- - Inactive development
3D Slicer
3D Slicer is a powerful, open-source medical image processing and visualization system that enables researchers, clinicians, and educators to analyze and manipulate medical imaging data. It offers a wide range of tools for image segmentation, visualization, and analysis, making it an essential tool for those working in medical imaging and research.
Processes and visualizes medical images, supporting analysis and research in various medical fields.
Pros
- + Open-source and highly customizable
- + Supports a wide range of medical imaging formats
- + Extensive toolset for image analysis and visualization
Cons
- - Steep learning curve for new users
- - No auto-update feature