Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions

Yichi Zhang, Qingcheng Liao, Le Ding, Jicong Zhang. Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions. Comp. Med. Imag. and Graph., 99:102088, 2022. [doi]

@article{ZhangLDZ22-0,
  title = {Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions},
  author = {Yichi Zhang and Qingcheng Liao and Le Ding and Jicong Zhang},
  year = {2022},
  doi = {10.1016/j.compmedimag.2022.102088},
  url = {https://doi.org/10.1016/j.compmedimag.2022.102088},
  researchr = {https://researchr.org/publication/ZhangLDZ22-0},
  cites = {0},
  citedby = {0},
  journal = {Comp. Med. Imag. and Graph.},
  volume = {99},
  pages = {102088},
}