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Project-MONAI / MONAI

  • пятница, 24 апреля 2020 г. в 00:21:15
https://github.com/Project-MONAI/MONAI

Python
AI Toolkit for Healthcare Imaging



project-monai

Medical Open Network for AI

License CI Build Documentation Status codecov PyPI version

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging. 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.

Features

The codebase is currently under active development.

  • 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.

Installation

To install the 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 via DockerHub:

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

Getting Started

Tutorials & examples are located at monai/examples.

Technical documentation is available via Read the Docs.

Contributing

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

Links