Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema

Hyeong-min Jin, Changyong Heo, Jong Hyo Kim. Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema. 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{JinHK18,
  title = {Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema},
  author = {Hyeong-min Jin and Changyong Heo and Jong Hyo Kim},
  year = {2018},
  doi = {10.1117/12.2295010},
  url = {https://doi.org/10.1117/12.2295010},
  researchr = {https://researchr.org/publication/JinHK18},
  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},
}