The implementation of the paper "Beam-wise Dose Composition Learning for Head and Neck Cancer Dose Prediction in Radiotherapy" in Pytorch.
- The comparison result of dose distribution map with state-of-the-art methods.
- The quantitative result in terms of two official metrics from the AAMP OpenKBP-2020 Challenge, i.e., Dose score and DVH score. Our method achieves superior performance compared with other state-of-the-art methods.
- The reproduction results may have certain deviations due to different GPUs used.
| Dose score | DVH score |
|---|---|
| 2.066±0.900 | 0.977±1.091 |
@article{teng2024beam,
title={Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy},
author={Teng, Lin and Wang, Bin and Xu, Xuanang and Zhang, Jiadong and Mei, Lanzhuju and Feng, Qianjin and Shen, Dinggang},
journal={Medical Image Analysis},
volume={92},
pages={103045},
year={2024},
publisher={Elsevier}
}