A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling

Maysam Shahedi, Martin T. Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma, David M. Schuster, Baowei Fei. A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. In Baowei Fei, Cristian A. Linte, editors, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, 16-21 February 2019. Volume 10951 of SPIE Proceedings, SPIE, 2019. [doi]

@inproceedings{ShahediHLLZVSF19,
  title = {A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling},
  author = {Maysam Shahedi and Martin T. Halicek and Qinmei Li and Lizhi Liu and Zhenfeng Zhang and Sadhna Verma and David M. Schuster and Baowei Fei},
  year = {2019},
  doi = {10.1117/12.2512282},
  url = {https://doi.org/10.1117/12.2512282},
  researchr = {https://researchr.org/publication/ShahediHLLZVSF19},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, 16-21 February 2019},
  editor = {Baowei Fei and Cristian A. Linte},
  volume = {10951},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}