Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection

Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein. Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. In Georgia D. Tourassi, Samuel G. Armato III, editors, Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016. Volume 9785 of SPIE Proceedings, SPIE, 2016. [doi]

@inproceedings{GotzSWFMKSM16,
  title = {Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection},
  author = {Michael Götz and Stephan Skornitzke and Christian Weber and Franziska Fritz and Philipp Mayer and Marco Koell and Wolfram Stiller and Klaus H. Maier-Hein},
  year = {2016},
  doi = {10.1117/12.2216645},
  url = {https://doi.org/10.1117/12.2216645},
  researchr = {https://researchr.org/publication/GotzSWFMKSM16},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016},
  editor = {Georgia D. Tourassi and Samuel G. Armato III},
  volume = {9785},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510600201},
}