Git Product home page Git Product logo

mrrichardchou / dipy Goto Github PK

View Code? Open in Web Editor NEW

This project forked from dipy/dipy

0.0 0.0 0.0 47.8 MB

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.

Home Page: https://dipy.org

License: Other

Makefile 0.10% Python 99.53% C 0.08% Shell 0.10% Batchfile 0.09% PowerShell 0.10%

dipy's Introduction

DIPY - Diffusion Imaging in Python

https://travis-ci.org/dipy/dipy.svg?branch=master https://dev.azure.com/dipy/dipy/_apis/build/status/dipy.dipy?branchName=master

DIPY [DIPYREF] is a python library for analysis of MR diffusion imaging.

DIPY is for research only; please do not use results from DIPY for clinical decisions.

Website

Current information can always be found from the DIPY website - http://dipy.org

Mailing Lists

Please see the developers' list at https://mail.python.org/mailman/listinfo/neuroimaging

Please see the users' forum at https://neurostars.org/tags/dipy

Please join the gitter chatroom here.

Code

You can find our sources and single-click downloads:

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.

License

DIPY is licensed under the terms of the BSD license. Please see 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.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.