Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning

@article{Behboodi2021Automatic3U,
  title={Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning},
  author={Bahareh Behboodi and Hassan Rivaz and S. Lalondrelle and Emma J. Harris},
  journal={2021 IEEE International Ultrasonics Symposium (IUS)},
  year={2021},
  pages={1-4}
}
On-line segmentation of the uterus can aid effective image-based guidance for precise delivery of dose to the target tissue (the uterocervix) during cervix cancer radiotherapy. 3D ultrasound (US) can be used to image the uterus, however, finding the position of uterine boundary in US images is a challenging task due to large daily positional and shape changes in the uterus, large variation in bladder filling, and the limitations of 3D US images such as low resolution in the elevational… Expand

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