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The official Pytorch implementation of "Segmenting two-dimensional structures with strided tensor networks". Raghavendra Selvan et al. IPMI,2021

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This is the official Pytorch implementation of "Segmenting two-dimensional structures with strided tensor networks", Raghavendra Selvan et al. 2021

lotenet

What is this repository for?

  • Reproduce results on Lung CXR dataset reported in the paper
  • v1.0

How do I get set up?

  • Basic Pytorch dependency
  • Tested on Pytorch 1.6, Python 3.6
  • The preprocessed lungCXR data is provided as an archive here. Unzip and point that as the data_dir.
  • Train the model from scratch: python train.py --data data/lungCXR

Usage guidelines

  • Kindly cite our publication if you use any part of the code
@inproceedings{raghav2021StridedTenet,
 	title={Segmenting two-dimensional structures with strided tensor networks},
	author={Raghavendra Selvan and Erik B. Dam and Jens Petersen},
	booktitle={27th international conference on Information Processing in Medical Imaging (IPMI)},
	month={Feb},
 	note={arXiv preprint arXiv:2102.06900},
	year={2021}}

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The official Pytorch implementation of "Segmenting two-dimensional structures with strided tensor networks". Raghavendra Selvan et al. IPMI,2021

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