Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset

Yuichiro Hayashi, Chen Shen 0002, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori. Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. In Horst K. Hahn, Maciej A. Mazurowski, editors, Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020. Volume 11314 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{Hayashi0ROMJHKA20,
  title = {Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset},
  author = {Yuichiro Hayashi and Chen Shen 0002 and Holger R. Roth and Masahiro Oda and Kazunari Misawa and Masahiro Jinzaki and Masahiro Hashimoto and Kanako K. Kumamaru and Shigeki Aoki and Kensaku Mori},
  year = {2020},
  doi = {10.1117/12.2551022},
  url = {https://doi.org/10.1117/12.2551022},
  researchr = {https://researchr.org/publication/Hayashi0ROMJHKA20},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020},
  editor = {Horst K. Hahn and Maciej A. Mazurowski},
  volume = {11314},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633964},
}