An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks

Dário Augusto Borges Oliveira, Matheus Palhares Viana. An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks. In 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018. pages 269-272, IEEE, 2018. [doi]

@inproceedings{OliveiraV18,
  title = {An efficient multi-scale data representation method for lung nodule false positive reduction using convolutional neural networks},
  author = {Dário Augusto Borges Oliveira and Matheus Palhares Viana},
  year = {2018},
  doi = {10.1109/ISBI.2018.8363571},
  url = {https://doi.org/10.1109/ISBI.2018.8363571},
  researchr = {https://researchr.org/publication/OliveiraV18},
  cites = {0},
  citedby = {0},
  pages = {269-272},
  booktitle = {15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-3636-7},
}