/Anatomic-Landmark-Detection

Primary LanguagePython

Introduction

This is the source code of Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting. The paper is early accepted in MICCAI 2019.

Prerequistes

  • Python 3.8
  • PyTorch 1.0.0-1.7.0

Dataset and setup

  • Download the dataset from the official webside and put it in the root. We also provide the processed dataset for a quick start.

Training and validation

  • python main.py

Reference

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

@inproceedings{chen2019cephalometric,
  title={Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting},
  author={Chen, Runnan and Ma, Yuexin and Chen, Nenglun and Lee, Daniel and Wang, Wenping},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={873--881},
  year={2019},
  organization={Springer}
}