Weasis
Weasis is an open source medical imaging viewer built using Java. It can view DICOM images and supports 2D and 3D medical images for radiology and other modalities. Weasis aims to provide a platform for integrating image processing algorithms and features into a viewer.
radiology
medical-imaging
dicom
viewer
3d
2d
Weasis: Open Source Medical Imaging Viewer
Weasis is an open source medical imaging viewer built using Java, supporting DICOM images for radiology and other modalities in 2D and 3D formats.
What is Weasis?
Weasis is an open source platform for viewing and analysing digital medical images. It is implemented in Java and can run on most operating systems (Windows, Mac OS, Linux). Weasis supports viewing and processing DICOM images as well as JPEG, PNG and other common image formats.
Some key features of Weasis include:
- Advanced 2D and 3D viewer capable of supporting various imaging modalities like CT, MRI, US, PET, SPECT
- Implemented plugins for specialized image processing, analysis and computer aided diagnosis algorithms
- Configurable image series hanging protocol to organize images and series
- Annotate images, make measurements and export analysis reports
- Query and retrieve images from a DICOM server (PACS), hospital system or medical device
- Extensible open software platform to build new plugins
Weasis strives to provide a complete open source software package for multi-modality medical image viewing that can be easily integrated into applications and customized for research. It can handle very large volumetric images efficiently. With its plugin framework, Weasis aims to offer medical users and developers an extensible platform to build and analyze medical images.
Weasis Features
Features
- DICOM viewer
- 2D & 3D medical image viewing
- Plugin architecture for extending functionality
- Image processing tools
- Annotations
- Reporting
- Exporting images
Pricing
- Open Source
Pros
Open source
Cross-platform
Extensible via plugins
Active development community
Supports many medical imaging formats
Cons
Steep learning curve
Limited native support for some modalities
Can be resource intensive for large studies
Lacks some specialized features of commercial viewers
Official Links
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