Combining Multiple Expert Annotations Using Semi-Supervised Learning And Graph Cuts For Crohn's Disease Segmentation

Combining Multiple Expert Annotations Using Semi-Supervised Learning And Graph Cuts For Crohn's Disease Segmentation. Mahapatra, D., Schüffler, P. J., Tielbeek, J. A.<nbsp>W., Puylaert, C., Makanyanga, J. C., Menys, A., Andriantsimiavona, R., Stoker, J., Taylor, S. A., Vos, F. M., & Buhmann, J. M. In 6th MICCAI Workshop on Abdominal Imaging - Computational and Clinical Applications.

Paper doi bibtex

@inproceedings{ mahapatra2014b,
  author = {Mahapatra, D. and Sch&uuml;ffler, P. J. and Tielbeek, J. A. W. and Puylaert, C. and Makanyanga, J. C. and Menys, A. and Andriantsimiavona, R. and Stoker, J. and Taylor, S. A. and Vos, F. M. and Buhmann, J. M.},
  title = {Combining Multiple Expert Annotations Using Semi-Supervised Learning And Graph Cuts For Crohn's Disease Segmentation},
  booktitle = {6th MICCAI Workshop on Abdominal Imaging - Computational and Clinical Applications},
  type = {Conference Proceedings},
  doi = {10.1007/978-3-319-13692-9_13},
  url = {http://link.springer.com/chapter/10.1007%2F978-3-319-13692-9_13}
}

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