Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

📝 Project Description

This repository will host the official implementation of our MICCAI 2025 paper:
Title: Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
Authors: Zanting Ye, Xiaolong Niu, Xu Han et al.

🚧 Code Status

We are currently organizing and cleaning the codebase for public release.
The code and pretrained models will be made available soon.

Stay tuned and feel free to star ⭐ the repository to get notified once we release the code!

📄 Citation

If you find our work useful in your research, please consider citing our paper:

@article{ye2025self,
  title={Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning},
  author={Ye, Zanting and Niu, Xiaolong and Wu, Xuanbin and Lu, Wantong and Lu, Lijun},
  journal={arXiv preprint arXiv:2503.03786},
  year={2025}
}