Deep learning-based automatic prostate segmentation in 3D transrectal ultrasound images from multiple acquisition geometries and systems

Nathan Orlando, Derek J. Gillies, Igor Gyacskov, Aaron Fenster. Deep learning-based automatic prostate segmentation in 3D transrectal ultrasound images from multiple acquisition geometries and systems. In Baowei Fei, Cristian A. Linte, editors, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020. Volume 11315 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{OrlandoGGF20,
  title = {Deep learning-based automatic prostate segmentation in 3D transrectal ultrasound images from multiple acquisition geometries and systems},
  author = {Nathan Orlando and Derek J. Gillies and Igor Gyacskov and Aaron Fenster},
  year = {2020},
  doi = {10.1117/12.2549804},
  url = {https://doi.org/10.1117/12.2549804},
  researchr = {https://researchr.org/publication/OrlandoGGF20},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, February 15-20, 2020},
  editor = {Baowei Fei and Cristian A. Linte},
  volume = {11315},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633971},
}