A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images

Fahmi Khalifa, Georgy L. Gimel'farb, Mohamed Abou El-Ghar, Guela Sokhadze, Samantha Manning, Patrick McClure, Rosemary Ouseph, Ayman El-Baz. A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images. In Benoît Macq, Peter Schelkens, editors, 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011. pages 3393-3396, IEEE, 2011. [doi]

@inproceedings{KhalifaGESMMOE11,
  title = {A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images},
  author = {Fahmi Khalifa and Georgy L. Gimel'farb and Mohamed Abou El-Ghar and Guela Sokhadze and Samantha Manning and Patrick McClure and Rosemary Ouseph and Ayman El-Baz},
  year = {2011},
  doi = {10.1109/ICIP.2011.6116438},
  url = {http://dx.doi.org/10.1109/ICIP.2011.6116438},
  researchr = {https://researchr.org/publication/KhalifaGESMMOE11},
  cites = {0},
  citedby = {0},
  pages = {3393-3396},
  booktitle = {18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011},
  editor = {Benoît Macq and Peter Schelkens},
  publisher = {IEEE},
  isbn = {978-1-4577-1304-0},
}