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Introduction

This is the source code of Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection. The paper is accepted in IEEE Transactions on Medical Imaging 2022.

Prerequistes

  • Python 3.8
  • PyTorch 1.7.0

Dataset and setup

  • Because of the confidentiality agreement, we could not publicly provide the patient's CBCT. However, you could apply the core code in other datasets.

Training and validation

  • python landmark.py

Reference

If you found this code useful, please cite the following paper:

@article{chen2022structure,
  title={Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection},
  author={Chen, Runnan and Ma, Yuexin and Chen, Nenglun and Liu, Lingjie and Cui, Zhiming and Lin, Yanhong and Wang, Wenping},
  journal={IEEE Transactions on Medical Imaging},
  year={2022},
  publisher={IEEE}
}

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