3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation

William Funke, Benjamin Veasey, Jacek M. Zurada, Hichem Frigui, Amir A. Amini. 3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation. In Horst K. Hahn, Maciej A. Mazurowski, editors, Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020. Volume 11314 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{FunkeVZFA20,
  title = {3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation},
  author = {William Funke and Benjamin Veasey and Jacek M. Zurada and Hichem Frigui and Amir A. Amini},
  year = {2020},
  doi = {10.1117/12.2548496},
  url = {https://doi.org/10.1117/12.2548496},
  researchr = {https://researchr.org/publication/FunkeVZFA20},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020},
  editor = {Horst K. Hahn and Maciej A. Mazurowski},
  volume = {11314},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633964},
}