Deep-learning derived features for lung nodule classification with limited datasets

Phawis Thammasorn, W. Wu, L. A. Pierce, S. N. Pipavath, P. D. Lampe, A. M. Houghton, D. R. Haynor, W. Art Chaovalitwongse, Paul E. Kinahan. Deep-learning derived features for lung nodule classification with limited datasets. In Nicholas A. Petrick, Kensaku Mori, editors, Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018. Volume 10575 of SPIE Proceedings, SPIE, 2018. [doi]

@inproceedings{ThammasornWPPLH18,
  title = {Deep-learning derived features for lung nodule classification with limited datasets},
  author = {Phawis Thammasorn and W. Wu and L. A. Pierce and S. N. Pipavath and P. D. Lampe and A. M. Houghton and D. R. Haynor and W. Art Chaovalitwongse and Paul E. Kinahan},
  year = {2018},
  doi = {10.1117/12.2293236},
  url = {https://doi.org/10.1117/12.2293236},
  researchr = {https://researchr.org/publication/ThammasornWPPLH18},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2018: Computer-Aided Diagnosis, Houston, Texas, USA, 10-15 February 2018},
  editor = {Nicholas A. Petrick and Kensaku Mori},
  volume = {10575},
  series = {SPIE Proceedings},
  publisher = {SPIE},
}