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Analysis software MeVisLab
data processingmedicalradiology

Analysis software - MeVisLab - VAREX Imaging - data processing / medical / radiology
Analysis software - MeVisLab - VAREX Imaging - data processing / medical / radiology
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Characteristics

Function
analysis, data processing
Applications
medical, radiology, for research
Type
AI
Deployment mode
for tablet PC
Other characteristics
automated

Description

Overview
MeVisLab provides a modular framework for medical image processing research and product development, covering segmentation, registration, volumetry and functional analysis. It supports workflows from prototype to deployable application and integrates with common AI toolchains.

Highlights
  • Focus on your innovations while MeVisLab manages data handling and visualizations
  • Reuse approximately 1,000 commercial or 3,000 non-commercial modules
  • Rapid prototyping without writing source code
  • Customization and automated testing via Python scripting, including user interface development and test automation
  • Create installable executables to distribute applications to customers
  • Separate runtime licenses to control application distribution
  • Direct use of AI frameworks inside MeVisLab (PyTorch, TensorFlow, ONNX, …)
  • Develop custom modules in C++ or Python to extend functionality

Multimedia
Embedded video demonstration available for MeVisLab.

Technical specifications
  • Modular framework for image processing research and development
  • Built-in modules for segmentation, registration, volumetry and functional analysis
  • Library reuse: ~1,000 commercial modules; ~3,000 non-commercial modules
  • Rapid prototyping capabilities without the need to write code
  • Customization and automated testing via Python scripting (UI development and tests)
  • Ability to create installable executables to distribute applications to customers
  • Separate runtime licensing to control distribution of applications
  • Direct integration with AI frameworks: PyTorch, TensorFlow, ONNX
  • Support for developing custom modules in C++ or Python

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