Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography

Yuexing Han, Xiaolong Li, Bing Wang, Lu Wang. Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography. Algorithms, 14(5):144, 2021. [doi]

@article{HanLWW21,
  title = {Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography},
  author = {Yuexing Han and Xiaolong Li and Bing Wang and Lu Wang},
  year = {2021},
  doi = {10.3390/a14050144},
  url = {https://doi.org/10.3390/a14050144},
  researchr = {https://researchr.org/publication/HanLWW21},
  cites = {0},
  citedby = {0},
  journal = {Algorithms},
  volume = {14},
  number = {5},
  pages = {144},
}