Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks

Hong-Jun Yoon, John X. Qiu, J. Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi. Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. In Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita, editors, Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019. pages 89-98, Springer, 2019. [doi]

@inproceedings{YoonQCHAT19,
  title = {Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks},
  author = {Hong-Jun Yoon and John X. Qiu and J. Blair Christian and Jacob D. Hinkle and Folami Alamudun and Georgia D. Tourassi},
  year = {2019},
  doi = {10.1007/978-3-030-16841-4_9},
  url = {https://doi.org/10.1007/978-3-030-16841-4_9},
  researchr = {https://researchr.org/publication/YoonQCHAT19},
  cites = {0},
  citedby = {0},
  pages = {89-98},
  booktitle = {Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019},
  editor = {Luca Oneto and Nicolò Navarin and Alessandro Sperduti and Davide Anguita},
  publisher = {Springer},
  isbn = {978-3-030-16841-4},
}