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README

This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra Selvan et al. 2020

lotenet

What is this repository for?

  • Train the proposed model on LIDC and Retina datasets
  • Reproduce the reported numbers in the paper
  • v1.0

How do I get set up?

  • Basic Pytorch dependency
  • Tested on Pytorch 1.3, Python 3.6
  • Download preprocessed LIDC dataset from here. ** Change the file name with .zip after downloading. **

Usage guidelines

  • Kindly cite our publication if you use any part of the code
@inproceedings{raghav2020cFlowNet,
 	title={Uncertainty quantification in medical image segmentation with Normalizing Flows},
	author={Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai},
 	booktitle={11th International Workshop on Machine Learning in Medical Imaging},
	month={October},
	year={2020}
	url={https://arxiv.org/abs/2006.02683}}

Who do I talk to?

Thanks

Some parts of our implementation are based on:

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This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra Selvan et al. 2020

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