InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen. InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Volume 13432 of Lecture Notes in Computer Science, pages 140-149, Springer, 2022. [doi]

@inproceedings{LinWCC22,
  title = {InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation},
  author = {Yi Lin and Zeyu Wang and Kwang-Ting Cheng and Hao Chen},
  year = {2022},
  doi = {10.1007/978-3-031-16434-7_14},
  url = {https://doi.org/10.1007/978-3-031-16434-7_14},
  researchr = {https://researchr.org/publication/LinWCC22},
  cites = {0},
  citedby = {0},
  pages = {140-149},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II},
  editor = {Linwei Wang and Qi Dou and P. Thomas Fletcher and Stefanie Speidel and Shuo Li 0001},
  volume = {13432},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16434-7},
}