MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation

Cite

Text

Dong et al. "MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/122

Markdown

[Dong et al. "MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/dong2022ijcai-mnet/) doi:10.24963/IJCAI.2022/122

BibTeX

@inproceedings{dong2022ijcai-mnet,
  title     = {{MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation}},
  author    = {Dong, Zhangfu and He, Yuting and Qi, Xiaoming and Chen, Yang and Shu, Huazhong and Coatrieux, Jean-Louis and Yang, Guanyu and Li, Shuo},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {870-876},
  doi       = {10.24963/IJCAI.2022/122},
  url       = {https://mlanthology.org/ijcai/2022/dong2022ijcai-mnet/}
}