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. The more detailed installation instruction is available there
Installation
ivadomed
requires Python >= 3.6 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)
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 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 .
Install from source
Make sure to install Torch1.8 following commands here as pip is not able to auto infer GPU/CPU support on your behalf. Again, the more comprehensive installation instruction is available there.
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
Project details
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