evalutils helps users create extensions for grand-challenge.org

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Project description

evalutils

evalutils contains useful functions for evaluating machine learning models in the context of medical imaging.

Bounding box annotations with Jaccard Index calculations
Calculations of bootstrapped ROC curves
Scoring for detection tasks
Efficient calculation of confusion matrices, jaccard scores, dice scores, hausdorff distances, absolute volume differences, and relative volume differences

evalutils requires Python 3.9 or above, and can be installed from pip. Please see the Getting Started documentation for more details.

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