Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato. Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network. Int. J. Computer Assisted Radiology and Surgery, 16(11):1855-1864, 2021. [doi]

@article{UemuraOTSKSS21,
  title = {Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network},
  author = {Keisuke Uemura and Yoshito Otake and Masaki Takao and Mazen Soufi and Akihiro Kawasaki and Nobuhiko Sugano and Yoshinobu Sato},
  year = {2021},
  doi = {10.1007/s11548-021-02345-w},
  url = {https://doi.org/10.1007/s11548-021-02345-w},
  researchr = {https://researchr.org/publication/UemuraOTSKSS21},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computer Assisted Radiology and Surgery},
  volume = {16},
  number = {11},
  pages = {1855-1864},
}