Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Yun, J., Park, J., Yu, D., Yi, J., Lee, M., Park, H. J., Lee, J., Seo, J. B., & Kim, N. Medical Image Analysis, 51:13-20, 2019.
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. [link]Link  Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. [link]Paper  bibtex   
@article{journals/mia/YunPYYLPLSK19,
  added-at = {2018-12-26T00:00:00.000+0100},
  author = {Yun, Jihye and Park, Jinkon and Yu, Donghoon and Yi, Jaeyoun and Lee, Minho and Park, Hee Jun and Lee, June-Goo and Seo, Joon Beom and Kim, Namkug},
  biburl = {https://www.bibsonomy.org/bibtex/24043fa4ae3bb091ec687ac0fca123008/dblp},
  ee = {https://doi.org/10.1016/j.media.2018.10.006},
  interhash = {065a980c8bf3a8a4d20b026138f89a87},
  intrahash = {4043fa4ae3bb091ec687ac0fca123008},
  journal = {Medical Image Analysis},
  keywords = {dblp},
  pages = {13-20},
  timestamp = {2018-12-28T11:40:57.000+0100},
  title = {Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.},
  url = {http://dblp.uni-trier.de/db/journals/mia/mia51.html#YunPYYLPLSK19},
  volume = 51,
  year = 2019
}

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