# evalutils

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

  - Free software: MIT license
  - Documentation: <https://comic.github.io/evalutils/>.

## Features

  - 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

## Getting Started

[evalutils](https://github.com/comic/evalutils) requires Python 3.9 or above, and can be installed from `pip`.
Please see the [Getting Started](https://comic.github.io/evalutils/usage.html) documentation for more details.


evalutils helps users create extensions for grand-challenge.org. 

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evalutils

evalutils helps users create extensions for grand-challenge.org

jamesmeakin

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evalutils

evalutils

Features

Getting Started

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