A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer

Agustina La Greca Saint-Esteven, Laura Motisi, Panagiotis Balermpas, Stephanie Tanadini-Lang. A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer. In Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge, editors, Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13626 of Lecture Notes in Computer Science, pages 86-93, Springer, 2022. [doi]

@inproceedings{SaintEstevenMBT22,
  title = {A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer},
  author = {Agustina La Greca Saint-Esteven and Laura Motisi and Panagiotis Balermpas and Stephanie Tanadini-Lang},
  year = {2022},
  doi = {10.1007/978-3-031-27420-6_9},
  url = {https://doi.org/10.1007/978-3-031-27420-6_9},
  researchr = {https://researchr.org/publication/SaintEstevenMBT22},
  cites = {0},
  citedby = {0},
  pages = {86-93},
  booktitle = {Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
  editor = {Vincent Andrearczyk and Valentin Oreiller and Mathieu Hatt and Adrien Depeursinge},
  volume = {13626},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-27420-6},
}