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Feature conditioning for IVADO medical imaging project.

Project description

ivadomed Overview

DOI Coverage Status test status publish package Documentation Status License: MIT Twitter Follow

ivadomed is an integrated framework for medical image analysis with deep learning.

The technical documentation is available here.

Installation

ivadomed requires Python >= 3.6 and < 3.9 as well as PyTorch == 1.5.0. We recommend working under a virtual environment, which could be set as follows:

virtualenv venv-ivadomed
source venv-ivadomed/bin/activate

Install from release (recommended)

Install ivadomed and its requirements from Pypi <https://pypi.org/project/ivadomed/>__:

pip install --upgrade pip
pip install ivadomed

Install from source

Bleeding-edge developments are available on the project's master branch on Github. Installation procedure is the following:

git clone https://github.com/neuropoly/ivadomed.git
cd ivadomed
pip install -e .

Contributors

This project results from a collaboration between the NeuroPoly Lab and the Mila. The main funding source is IVADO.

List of contributors

Consult our Wiki(https://github.com/ivadomed/ivadomed/wiki) here for more help

Project details


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Files for ivadomed, version 2.8.0
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Filename, size ivadomed-2.8.0.tar.gz (174.4 kB) File type Source Python version None Upload date Hashes View

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