Quantification of CT images for the classification of high- and low-risk pancreatic cysts

Lior Gazit, Jayasree Chakraborty, Marc Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson. Quantification of CT images for the classification of high- and low-risk pancreatic cysts. In Samuel G. Armato III, Nicholas A. Petrick, editors, Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017. Volume 10134 of SPIE Proceedings, SPIE, 2017. [doi]

@inproceedings{GazitCALADS17,
  title = {Quantification of CT images for the classification of high- and low-risk pancreatic cysts},
  author = {Lior Gazit and Jayasree Chakraborty and Marc Attiyeh and Liana Langdon-Embry and Peter J. Allen and Richard K. G. Do and Amber L. Simpson},
  year = {2017},
  doi = {10.1117/12.2255626},
  url = {https://doi.org/10.1117/12.2255626},
  researchr = {https://researchr.org/publication/GazitCALADS17},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017},
  editor = {Samuel G. Armato III and Nicholas A. Petrick},
  volume = {10134},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510607132},
}