Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images

Jose George, Kathleen Vunckx, Elke Van de Casteele, Sabine Tejpar, Christophe Deroose, Johan Nuyts, Dirk Loeckx, Paul Suetens. Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images. In Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I. Volume 7510 of Lecture Notes in Computer Science, pages 107-114, Springer, 2012. [doi]

@inproceedings{GeorgeVCTDNLS12,
  title = {Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images},
  author = {Jose George and Kathleen Vunckx and Elke Van de Casteele and Sabine Tejpar and Christophe Deroose and Johan Nuyts and Dirk Loeckx and Paul Suetens},
  year = {2012},
  doi = {10.1007/978-3-642-33415-3_14},
  url = {http://dx.doi.org/10.1007/978-3-642-33415-3_14},
  researchr = {https://researchr.org/publication/GeorgeVCTDNLS12},
  cites = {0},
  citedby = {0},
  pages = {107-114},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I},
  editor = {Nicholas Ayache and Hervé Delingette and Polina Golland and Kensaku Mori},
  volume = {7510},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-33414-6},
}