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https://github.com/dipy/dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
https://github.com/dipy/dipy
bundles contextual-enhancement denoising diffusion-mri dki dti machine-learning medical-imaging microstructure neuroanatomy neuroimaging patch2self python registration segmentation self-supervised-learning spherical-harmonics tracking tractography tractometry
Last synced: 3 months ago
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DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
- Host: GitHub
- URL: https://github.com/dipy/dipy
- Owner: dipy
- License: other
- Created: 2010-02-06T11:43:08.000Z (almost 15 years ago)
- Default Branch: master
- Last Pushed: 2024-07-29T17:00:53.000Z (3 months ago)
- Last Synced: 2024-07-31T21:08:51.142Z (3 months ago)
- Topics: bundles, contextual-enhancement, denoising, diffusion-mri, dki, dti, machine-learning, medical-imaging, microstructure, neuroanatomy, neuroimaging, patch2self, python, registration, segmentation, self-supervised-learning, spherical-harmonics, tracking, tractography, tractometry
- Language: Python
- Homepage: https://dipy.org
- Size: 70.1 MB
- Stars: 695
- Watchers: 54
- Forks: 435
- Open Issues: 182
-
Metadata Files:
- Readme: README.rst
- Changelog: Changelog
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome_medical - dipy
- awesome-python-machine-learning-resources - GitHub - 14% open · ⏱️ 25.08.2022): (医疗领域)
README
.. image:: doc/_static/images/logos/dipy-logo.png
:height: 180px
:target: http://dipy.org
:alt: DIPY - Diffusion Imaging in Python
|
.. image:: https://github.com/dipy/dipy/actions/workflows/test.yml/badge.svg?branch=master
:target: https://github.com/dipy/dipy/actions/workflows/test.yml
.. image:: https://codecov.io/gh/dipy/dipy/branch/master/graph/badge.svg
:target: https://codecov.io/gh/dipy/dipy
.. image:: https://img.shields.io/pypi/v/dipy.svg
:target: https://pypi.python.org/pypi/dipy
.. image:: https://anaconda.org/conda-forge/dipy/badges/platforms.svg
:target: https://anaconda.org/conda-forge/dipy
.. image:: https://anaconda.org/conda-forge/dipy/badges/downloads.svg
:target: https://anaconda.org/conda-forge/dipy
.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
:target: https://github.com/dipy/dipy/blob/master/LICENSE
DIPY [DIPYREF]_ is a python library for the analysis of MR diffusion imaging.
DIPY is for research only; please contact [email protected] if you plan to deploy
in clinical settings.
Website
=======
Current information can always be found from the DIPY website - http://dipy.org
Mailing Lists
=============
Please see the DIPY community list at
https://mail.python.org/mailman3/lists/dipy.python.org/
Please see the users' forum at
https://github.com/dipy/dipy/discussions
Please join the gitter chatroom `here `_.
Code
====
You can find our sources and single-click downloads:
* `Main repository`_ on Github.
* Documentation_ for all releases and current development tree.
* Download as a tar/zip file the `current trunk`_.
.. _main repository: http://github.com/dipy/dipy
.. _Documentation: http://dipy.org
.. _current trunk: http://github.com/dipy/dipy/archives/master
Installing DIPY
===============
DIPY can be installed using `pip`::
pip install dipy
or using `conda`::
conda install -c conda-forge dipy
For detailed installation instructions, including instructions for installing
from source, please read our `installation documentation `_.
Python versions and dependencies
--------------------------------
DIPY follows the `Scientific Python`_ `SPEC 0 — Minimum Supported Versions`_
recommendation as closely as possible, including the supported Python and
dependencies versions.
Further information can be found in `Toolchain Roadmap `_.
License
=======
DIPY is licensed under the terms of the BSD license.
Please see the `LICENSE file `_.
Contributing
============
We welcome contributions from the community. Please read our `Contributing guidelines `_.
Reference
=========
.. [DIPYREF] E. Garyfallidis, M. Brett, B. Amirbekian, A. Rokem,
S. Van Der Walt, M. Descoteaux, I. Nimmo-Smith and DIPY contributors,
"DIPY, a library for the analysis of diffusion MRI data",
Frontiers in Neuroinformatics, vol. 8, p. 8, Frontiers, 2014.
.. _`Scientific Python`: https://scientific-python.org/
.. _`SPEC 0 — Minimum Supported Versions`: https://scientific-python.org/specs/spec-0000/