Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning

Tong Zheng 0001, Masahiro Oda, Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori. Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning. In Ivana Isgum, Bennett A. Landman, editors, Medical Imaging 2021: Image Processing, Online, February 15-19, 2021. Volume 11596 of SPIE Proceedings, SPIE, 2021. [doi]

@inproceedings{0001OWMHOHAMTNM21,
  title = {Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning},
  author = {Tong Zheng 0001 and Masahiro Oda and Chenglong Wang and Takayasu Moriya and Yuichiro Hayashi and Yoshito Otake and Masahiro Hashimoto and Toshiaki Akashi and Masaki Mori and Hirotsugu Takabatake and Hiroshi Natori and Kensaku Mori},
  year = {2021},
  doi = {10.1117/12.2580641},
  url = {https://doi.org/10.1117/12.2580641},
  researchr = {https://researchr.org/publication/0001OWMHOHAMTNM21},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2021: Image Processing, Online, February 15-19, 2021},
  editor = {Ivana Isgum and Bennett A. Landman},
  volume = {11596},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510640221},
}