Feature conditioning for IVADO medical imaging project.
Project description
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.
Consult our Wiki(https://github.com/ivadomed/ivadomed/wiki) here for more help
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