Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images

Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama. Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images. In Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco, editors, Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I. Volume 10484 of Lecture Notes in Computer Science, pages 370-379, Springer, 2017. [doi]

@inproceedings{SakamotoNZS17,
  title = {Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images},
  author = {Masaharu Sakamoto and Hiroki Nakano and Kun Zhao and Taro Sekiyama},
  year = {2017},
  doi = {10.1007/978-3-319-68560-1_33},
  url = {https://doi.org/10.1007/978-3-319-68560-1_33},
  researchr = {https://researchr.org/publication/SakamotoNZS17},
  cites = {0},
  citedby = {0},
  pages = {370-379},
  booktitle = {Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I},
  editor = {Sebastiano Battiato and Giovanni Gallo and Raimondo Schettini and Filippo Stanco},
  volume = {10484},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-68560-1},
}