Welcome to Monte Carlo Analysis’s documentation!¶
This python package analyses the output of a monte-carlo dropout network. The method to analyse the different uncertainty maps are described in the following article:
@inproceedings{camarasa2020quantitative,
title={{Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-Class Segmentation}},
author={Camarasa, Robin and Bos, Daniel and Hendrikse, Jeroen and Nederkoorn, Paul and Kooi, Eline and van der Lugt, Aad and de Bruijne, Marleen},
note={Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) workshop of MICCAI conference},
year={2020}
}
A talk a given at UNSURE a workshop of MICCAI conference is available at this link on Youtube.
Usage¶
You can install this python package using pypi as follow:
$ pip install monte-carlo-analysis
or using cloning the gitlab repository and installing the package locally:
$ git clone https://gitlab.com/python-packages2/monte-carlo-analysis.git
$ cd monte-carlo-analysis
$ pip install ./ --no-cache-dir
Contribution¶
To contribute please send a merge request on the gitlab repository of the project.