Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning

Minghong Zhou, Chao Yuan, Zhaoshi Chen, Chuan Wang, Yaosheng Lu. Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI. Volume 12266 of Lecture Notes in Computer Science, pages 406-414, Springer, 2020. [doi]

@inproceedings{ZhouYCWL20,
  title = {Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning},
  author = {Minghong Zhou and Chao Yuan and Zhaoshi Chen and Chuan Wang and Yaosheng Lu},
  year = {2020},
  doi = {10.1007/978-3-030-59725-2_39},
  url = {https://doi.org/10.1007/978-3-030-59725-2_39},
  researchr = {https://researchr.org/publication/ZhouYCWL20},
  cites = {0},
  citedby = {0},
  pages = {406-414},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI},
  editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
  volume = {12266},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59725-2},
}