Python imaging utilities developed in the medical imaging research center of KU Leuven
Project description
pymirc
general python KUL MIRC imaging routines
authors
georg.schramm@kuleuven.be, jeroen.bertels@kuleuven.be, tom.eelbode@kuleuven.be, siri.willems@kuleuven.be
Purpose
pymirc is a collection of common python imaging routines (fileio, transformations, ...) developed and used in the medical imaging research center of KU Leuven.
Requirements
see setup.py
Installation from pypi
To install the package from pypi simple run
pip install pymirc
(optional) use of modules for tensorflow
In case you want to use our tensorflow metrics and loss functions (tf_losses.py and tf_metrics.py), you also have to tensorflow via
pip install tensorflow
Getting started
The examples subdirectory contains minimal examples on how to use the most important functions.
Project details
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