Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks

Daniil Pakhomov, Wei Shen, Nassir Navab. Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021. pages 8499-8504, IEEE, 2020. [doi]

@inproceedings{PakhomovSN20,
  title = {Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks},
  author = {Daniil Pakhomov and Wei Shen and Nassir Navab},
  year = {2020},
  doi = {10.1109/IROS45743.2020.9340816},
  url = {https://doi.org/10.1109/IROS45743.2020.9340816},
  researchr = {https://researchr.org/publication/PakhomovSN20},
  cites = {0},
  citedby = {0},
  pages = {8499-8504},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-6212-6},
}