Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation

Daniel Hoklai Chapman-Sung, Lubomir M. Hadjiiski, Dhanuj Gandikota, Heang-Ping Chan, Ravi Samala, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chuan Zhou 0002. Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation. 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{Chapman-SungHGC20,
  title = {Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation},
  author = {Daniel Hoklai Chapman-Sung and Lubomir M. Hadjiiski and Dhanuj Gandikota and Heang-Ping Chan and Ravi Samala and Elaine M. Caoili and Richard H. Cohan and Alon Z. Weizer and Ajjai Alva and Chuan Zhou 0002},
  year = {2020},
  doi = {10.1117/12.2551309},
  url = {https://doi.org/10.1117/12.2551309},
  researchr = {https://researchr.org/publication/Chapman-SungHGC20},
  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},
}