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ACS nnU-Net: Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding (PSIVT 2023)

This is the official implementation of the PSIVT 2023 "best-paper-award" paper "Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding".

Acknowledgement

This code is based on commit b4e97fe of nnUNet. We thank them for their amazing work.

References

@inproceedings{huynh2023efficient,
  title={Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding},
  author={Huynh, Tuan-Luc and Le, Thanh-Danh and Nguyen, Tam V and Le, Trung-Nghia and Tran, Minh-Triet},
  booktitle={Pacific-Rim Symposium on Image and Video Technology},
  pages={138--152},
  year={2023},
  organization={Springer}
}

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[PSIVT'23] ACS nnU-Net: Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding

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