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mlf-core prediction package for U-Net models trained on the LiTS dataset.

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qbic-pipelines/liver-ct-segmentation-package

 
 

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liver-ct-segmentation-package

Github Workflow Build liver-ct-segmentation-package Status Github Workflow Tests Status PyPI Status Documentation Status Dependabot Enabled

Prediction package for reproducible U-Net models trained on the LiTS dataset. These models are trained using the mlf-core framework (https://github.com/mlf-core/liver-ct-segmentation/).

Features

  • Model download CLI: liver-ct-seg-model-dl
  • Prediction CLI: liver-ct-seg-pred
  • Uncertainty of prediction CLI: liver-ct-seg-uncert
  • Input feature importance (Guided Grad-CAM) CLI: liver-ct-seg-feat-ggcam

Credits

This package was created with mlf-core using cookiecutter.

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mlf-core prediction package for U-Net models trained on the LiTS dataset.

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  • Python 91.5%
  • Makefile 8.1%
  • Dockerfile 0.4%