This repository is intended for research and educational purposes in medical image analysis. It contains four seperate tutorials with Ipython notebooks demonstrating basic examples of medical image registration, segmentation, and classification.
You can browse these tutorials in <a href="http://nbviewer.ipython.org/github/ozan-oktay/Medical-Image-Analysis-IPython-Tutorials/tree/master/">nbviewer. To run them on your machine, you need to have the following Python modules installed:
Precompiled libraries are already included in ./tutorial_2/simpleitk
vtk-python (>=5.8.0) (linux users: apt-get install python-vtk)
scikit-learn (>=0.15.2)
This code is published under the under the Apache 2.0 license.
Please read license.txt for more information.
Version 1.0 (19/12/2014) - initial version
If you would like to make changes on the tutorial files or add new features, please send an email to the authors:
Ozan Oktay (o.oktay13@imperial.ac.uk)
Kevin Keraudren (kevin.keraudren10@imperial.ac.uk)
The following blog post provides a short introduction to these tutorials.
