• Corpus ID: 26058808

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

@article{Pawlowski2017DLTKSO,
  title={DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images},
  author={Nick Pawlowski and Sofia Ira Ktena and M. J. Lee and Bernhard Kainz and Daniel Rueckert and Ben Glocker and Martin Rajchl},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.06853}
}
We present DLTK, a toolkit providing baseline implementations for efficient experimentation with deep learning methods on biomedical images. [...] Key Result The average test Dice similarity coefficient of $81.5$ exceeds the previously best performing CNN ($75.7$) and the accuracy of the challenge winning method ($79.0$).Expand
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