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Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images

Repository for the MICCAI 2023 paper Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images.

The code is developed upon pytorch-CycleGAN-and-pix2pix and RandConv.

Citation

If you use this code for your research, please cite our papers.

@inproceedings{yang2023learning,
  title={Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images},
  author={Yang, Xinyi and Chin, Bennett and Silosky, Michael and Litwiller, Daniel and Ghosh, Debashis and Xing, Fuyong},
  booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023},
  pages={116--126},
  year={2023}
}

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