Prediction package for U-Net models trained on the LiTS dataset.
Project description
liver-ct-segmentation-package
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/).
Free software: MIT
Documentation: https://liverctsegmentationpackage.readthedocs.io.
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.
Changelog
This project adheres to Semantic Versioning.
1.6.0 (2021-11-01)
Added
Introduced command to compute uncertainty of prediction, via the monte-carlo dropout procedure.
Introduced command to compute input feature importance via the guided grad-cam algorithm, as implemented by the captum lib.
Fixed
Dependencies
Deprecated
1.5.0 (2021-09-01)
Added
First working prototype
Fixed
Dependencies
Deprecated
0.1.0-SNAPSHOT (2021-07-28)
Added
Created the project using mlf-core
Fixed
Dependencies
Deprecated
Project details
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