DLTK: A medical imagining deep learning library built on TensorFlow.

Comes with prebuilt models for Fetal Brain Segmentation from MRI, and segmentation on cardiovascular magnetic resonance images.

GitHub: https://github.com/DLTK/models

Referencing and citing methods in the Model Zoo

To find out how to reference each implementation, please refer to the specifications in the authors’ README.md. If you use DLTK in your work please refer to this citation:

@article{pawlowski2017state,
  title={DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images},
  author={Nick Pawlowski and S. Ira Ktena, and Matthew C.H. Lee and Bernhard Kainz and Daniel Rueckert and Ben Glocker and Martin Rajchl},
  journal={arXiv preprint arXiv:1711.06853},
  year={2017}
}

The team

The DLTK Model Zoo is currently maintained by @pawni and @mrajchl, with greatly appreciated contributions from @baiwenjia (alphabetical order).

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