Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation (MICCAI 2022)

MRDA is a data augmentation method for 3D mitochondria segmentation by synthesizing diverse 3D EM images.

Paper

This repository provides the official implementation of MRDA.

Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
Qi Chen¹, Mingxing Li¹, Jiacheng Li¹, Bo Hu¹, Zhiwei Xiong¹,
¹ University of Science and Technology of China
paper | code | slides | poster

⏳ Dataset Link

• Lucchi
• MitoEM

💡 Acknowledgement

This project is built upon previous projects. Especially, we'd like to thank the contributors of the following github repositories:

• Pix2Pix
• MitoEM2021-Challenge
• pytorch_connectomics

🛡️ License

This project is under the CC-BY-NC 4.0 license. See LICENSE for details.

📦 Citation

If you find this work or code is helpful in your research, please cite:

@inproceedings{chen2022mask,
  title={Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation},
  author={Chen, Qi and Li, Mingxing and Li, Jiacheng and Hu, Bo and Xiong, Zhiwei},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part IV},
  pages={36--46},
  year={2022},
  organization={Springer}
}