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MedicalOpenNetwork forAI

MONAI is aPyTorch-based,open-source framework for deep learning in healthcare imaging, part ofPyTorch Ecosystem.Its ambitions are:

• developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
• creating state-of-the-art, end-to-end training workflows for healthcare imaging;
• providing researchers with the optimized and standardized way to create and evaluate deep learning models.

The codebase is currently under active development.Please seethe technical highlights of the current milestone release.

• flexible pre-processing for multi-dimensional medical imaging data;
• compositional & portable APIs for ease of integration in existing workflows;
• domain-specific implementations for networks, losses, evaluation metrics and more;
• customizable design for varying user expertise;
• multi-GPU data parallelism support.

To installthe current release:

pip install monai

To install from the source code repository:

pip install git+https://github.com/Project-MONAI/MONAI#egg=MONAI

Alternatively, pre-built Docker image is available viaDockerHub:

# with docker v19.03+docker run --gpus all --rm -ti --ipc=host projectmonai/monai:latest

For more details, please refer tothe installation guide.

MedNIST demo andMONAI for PyTorch Users are available on Colab.

Examples and notebook tutorials are located atProject-MONAI/tutorials.

Technical documentation is available atdocs.monai.io.

For guidance on making a contribution to MONAI, see thecontributing guidelines.

Join the conversation on Twitter@ProjectMONAI or join ourSlack channel.

Ask and answer questions over on thePyTorch Forums orStackOverflow. Make sure to tag @monai.

• Website:https://monai.io/
• API documentation:https://docs.monai.io
• Code:https://github.com/Project-MONAI/MONAI
• Project tracker:https://github.com/Project-MONAI/MONAI/projects
• Issue tracker:https://github.com/Project-MONAI/MONAI/issues
• Wiki:https://github.com/Project-MONAI/MONAI/wiki
• Test status:https://github.com/Project-MONAI/MONAI/actions