Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing

Chang Liu, Liang Zhao. Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing. In Guoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li, editors, Computational Methods and Clinical Applications for Spine Imaging - 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Volume 11397 of Lecture Notes in Computer Science, pages 144-153, Springer, 2018. [doi]

@inproceedings{LiuZ18-60,
  title = {Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing},
  author = {Chang Liu and Liang Zhao},
  year = {2018},
  doi = {10.1007/978-3-030-13736-6_12},
  url = {https://doi.org/10.1007/978-3-030-13736-6_12},
  researchr = {https://researchr.org/publication/LiuZ18-60},
  cites = {0},
  citedby = {0},
  pages = {144-153},
  booktitle = {Computational Methods and Clinical Applications for Spine Imaging - 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers},
  editor = {Guoyan Zheng and Daniel Belavy and Yunliang Cai and Shuo Li},
  volume = {11397},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-13736-6},
}