Metadata-Version: 2.4
Name: dicom2fem
Version: 2.1.0
Summary: Generation of finite element meshes from DICOM images
Author-email: Vladimír Lukeš <vlukes@kme.zcu.cz>
Project-URL: homepage, https://github.com/vlukes/dicom2fem
Keywords: fem,dicom
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: pyvista
Requires-Dist: io3d
Requires-Dist: loguru
Requires-Dist: imma
Requires-Dist: imcut
Requires-Dist: pygco
Requires-Dist: seededitorqt
Dynamic: license-file

DICOM2FEM
=========

About
-----

Generation of finite element meshes using computed tomography scans.
Segmentation is based on the graph cut algorithm.

Requirements
------------

Install the required packages:

    pip install pygco scikit-learn loguru pydicom meshio imma imcut seededitorqt io3d

Installation
------------

* Download the code from the git repository:

      git clone git://github.com/vlukes/dicom2fem

or

* Use [pip](https://pypi.org/project/pip/):

      pip install dicom2fem

  or

      pip install git+git://github.com/vlukes/dicom2fem


Running the program
------------------

To run DICOM2FEM use the following command:

      python dicom2fem/dicom2fem.py

Links
-----

* https://github.com/vlukes/dicom2fem
* http://sfepy.org/dicom2fem

Author
------

Vladimir Lukeš

License
-------

MIT license
