Feature conditioning for IVADO medical imaging project.
ivadomed is an integrated framework for medical image analysis with deep learning.
The technical documentation is available here. The more detailed installation instruction is available there
ivadomed requires Python >= 3.7 and < 3.10 as well as PyTorch == 1.8. We recommend working under a virtual environment, which could be set as follows:
python -m venv ivadomed_env source ivadomed_env/bin/activate
Install from release (recommended)
ivadomed and its requirements from
pip install --upgrade pip pip install ivadomed
Install from source
Bleeding-edge developments builds 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 .
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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