Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework

Ata Jodeiri, Reza Aghaeizadeh Zoroofi, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato, Yoshito Otake. Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework. Computer Methods and Programs in Biomedicine, 184:105282, 2020. [doi]

@article{JodeiriZHTSSSO20,
  title = {Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework},
  author = {Ata Jodeiri and Reza Aghaeizadeh Zoroofi and Yuta Hiasa and Masaki Takao and Nobuhiko Sugano and Yoshinobu Sato and Yoshito Otake},
  year = {2020},
  doi = {10.1016/j.cmpb.2019.105282},
  url = {https://doi.org/10.1016/j.cmpb.2019.105282},
  researchr = {https://researchr.org/publication/JodeiriZHTSSSO20},
  cites = {0},
  citedby = {0},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {184},
  pages = {105282},
}