DeepReg is a freely available, community-supported open-source toolkit for research and education in medical image registration using deep learning.
Project description
DeepReg
DeepReg is a freely available, community-supported open-source toolkit for research and education in medical image registration using deep learning.
- TensorFlow2-based for efficient training and rapid deployment;
- Implementing major unsupervised and weakly-supervised algorithms, with their combinations and variants;
- Focusing on growing and diverse clinical applications, with all DeepReg Demos using open-accessible data;
- Simple built-in command line tools requiring minimal programming and scripting;
- Open, permissible and research-and-education-driven, under the Apache 2.0 license.
Getting Started
Contributing
Get involved, and help make DeepReg better!
For guidance on making a contribution to DeepReg, see our contribution guidelines.
Have a registration application with openly accessible data? Consider contributing a DeepReg Demo.
MICCAI 2020 Educational Challenge
Our MICCAI Educational Challenge submission on DeepReg is an Award Winner!
Check it out
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