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SMILI

Posted on by Robin Ding Leave a comment Machine Learning, Medical Physics, Visualization

The Simple Medical Imaging Library Interface (SMILI), pronounced ‘smilie’, is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage.

The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.

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  • Unlimited Calling, Faxing, Video Conferencing
  • 24/7 U.S Based Customer Support
  • Super Reliable, Simple to Use
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Website http://smili-project.sourceforge.net/
Tags
License BSD License
Platform BSD Linux Mac Windows
Features
  • Image Processing
  • Surface/Model Processing
  • Surface/Model Visualisation
  • n-D Image Visualisation
  • Deformation Field Visualisation
  • DICOM and DICOM RT Support
  • Shape Modelling
  • Python Scripting
  • Polygonal Contouring
  • Animating Surfaces