MedSeg
MedSeg is an open-source medical image segmentation tool. It provides semi-automated and interactive segmentation functionality for various imaging modalities like CT, MRI, and microscopy images. Useful for researchers labeling medical images.
medical-imaging
image-segmentation
deep-learning
MedSeg: Open-Source Medical Image Segmentation Tool
Semi-automated and interactive segmentation functionality for CT, MRI, and microscopy images. Useful for researchers labeling medical images.
What is MedSeg?
MedSeg is an open-source, cross-platform medical image segmentation tool. It allows for interactive, semi-automated segmentation of 2D and 3D images from various medical imaging modalities including MRI, CT, ultrasound, and microscopy.
Key features of MedSeg include:
- Supports all major image formats like NIfTI, DICOM, TIFF
- Multiple semi-automated and manual segmentation tools like region growing, thresholds, scribbles
- Multi-organ segmentation with automatic suggestions and atlases
- Specialized tools for neuron segmentation
- Powerful 3D visualization and volume rendering
- Cross-platform compatibility with Windows, MacOS and Linux
- Python scripting interface for batch processing and customization
- Annotation and measurement tools for analyzing segments
- Export segments and labels to common medical image formats
MedSeg can prove useful for researchers working with medical images and needing to accurately label and segment anatomical structures. Its interactive tools provide efficiency and accuracy. The open-source nature allows for inspection of methodology and customization for specialized research tasks.
MedSeg Features
Features
- Semi-automated segmentation using deep learning models
- Interactive segmentation with scribbles
- Supports various imaging modalities like CT, MRI, microscopy
- Built-in evaluation metrics
- Customizable and extensible
Pricing
- Open Source
Pros
Open source and free to use
Intuitive graphical user interface
Reduces time for medical image labeling
Can be customized for specific applications
Active development community
Cons
Limited to Linux and Windows currently
Steep learning curve for customization
Lacks some advanced features of commercial tools
Official Links
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