GitHub repository for 'XEdgeConv: Leveraging graph convolutions for efficient, permutation-and rotation-invariant dense 3D medical image segmentation'
![](https://private-user-images.githubusercontent.com/13519345/323694603-57918aae-ea61-4ebc-9dbf-f5a8a3ff628f.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.qjc3_qdYXPVY--03LA2sUZ6QSjGzVckrBNI0iALuYgM)
pip install nnunetv2
Copy the trainers to:
virtualenvs/<your_python_environment>/lib/python*.*/site-packages/nnunet/training/network_training/nnUNet_variants
For further info on how to use the nnunet framework, refer to: https://github.com/MIC-DKFZ/nnUNet
Weihsbach, C., Hansen, L., & Heinrich, M. (2022, November). XEdgeConv: Leveraging graph convolutions for efficient, permutation-and rotation-invariant dense 3D medical image segmentation. In Geometric Deep Learning in Medical Image Analysis (pp. 61-71). PMLR.