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The wiki is no longer updated: For installation instructions, tutorials and the API documentation have a look at http://pythonhosted.org//MedPy/.
!TODO: Update this list with the scripts contained in version 0.2.1.
Welcome to the MedPy wiki!
MedPy is a medical image processing library developed in Python. It provides a number of standard low-level image manipulation routines, such as loading, saving, meta-data manipulation and re-slicing. Additionally, some advanged image processing methods are implemented, such as graph cuts, image filtering, gradient compuation and image intensity stadardization.
The most popular methods come wrapped in command-line scripts for direct usage.
In this wiki, you will find instruction on how to install the library, basic tutorials of its functionalities and information on how to contribute.
Contents:
Installing MedPy
Using MedPy as a library
Using the MedPy scripts
3rd party packages
Manuals
MedPy and ITK
Developing with MedPy
Contributing to MedPy
MedPy API
Installing MedPy from PyPI (Ubuntu)
Installing MedPy from source (Ubuntu)
Uninstalling MedPy (Ubuntu)
Loading and saving images
Basic image manipulation
Some filter examples (to-come)
List of all functionalities (to-come)
List of supported image formats
Basic usage of the MedPy scripts (to-come)
List of all MedPy scripts
Dependencies (to-come)
Recommendations (to-come)
Optional packages (to-come)
Image pre-processing with MedPy (to-come)
Graph cuts with MedPy (to-come)
Machine learning with MedPy and scikit-learn (to-come)
The ITK Python bindings (to-come)
Why ITK with Python bindings? (to-come)
Using the Ubuntu package (to-come)
Compiling ITK with Python bindings (to-come)
Installing MedPy in development mode (Ubuntu)
(yet-to-come)
(yet-to-come)