Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports

Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao. Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. In Kensaku Mori, Horst K. Hahn, editors, Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019. Volume 10950 of SPIE Proceedings, SPIE, 2019. [doi]

@inproceedings{BenitezTKSPMLRH19,
  title = {Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports},
  author = {Matias Benitez and James Tian and Mark Kelly and Vignesh Selvakumaran and Matthew Phelan and Maciej A. Mazurowski and Joseph Y. Lo and Geoffrey D. Rubin and Ricardo Henao},
  year = {2019},
  doi = {10.1117/12.2512886},
  url = {https://doi.org/10.1117/12.2512886},
  researchr = {https://researchr.org/publication/BenitezTKSPMLRH19},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019},
  editor = {Kensaku Mori and Horst K. Hahn},
  volume = {10950},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}