Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation

Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan. Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. In Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan, editors, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Volume 12966 of Lecture Notes in Computer Science, pages 30-39, Springer, 2021. [doi]

@inproceedings{HuangDTDR21,
  title = {Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation},
  author = {Ling Huang and Thierry Denoeux and David Tonnelet and Pierre Decazes and Su Ruan},
  year = {2021},
  doi = {10.1007/978-3-030-87589-3_4},
  url = {https://doi.org/10.1007/978-3-030-87589-3_4},
  researchr = {https://researchr.org/publication/HuangDTDR21},
  cites = {0},
  citedby = {0},
  pages = {30-39},
  booktitle = {Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings},
  editor = {Chunfeng Lian and Xiaohuan Cao and Islem Rekik and Xuanang Xu and Pingkun Yan},
  volume = {12966},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87589-3},
}