Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures

Cite

Text

Mishra et al. "Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017. doi:10.1109/CVPRW.2017.277

Markdown

[Mishra et al. "Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017.](https://mlanthology.org/cvprw/2017/mishra2017cvprw-learning/) doi:10.1109/CVPRW.2017.277

BibTeX

@inproceedings{mishra2017cvprw-learning,
  title     = {{Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures}},
  author    = {Mishra, Kaustuv and Sathish, Rachana and Sheet, Debdoot},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2017},
  pages     = {2233-2240},
  doi       = {10.1109/CVPRW.2017.277},
  url       = {https://mlanthology.org/cvprw/2017/mishra2017cvprw-learning/}
}