THEMIS: Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning

Yume Asayama, Baoqing Wang, Masanori Nakayama, Hideki Shohjoh, Noboru Adachi, Yasushi Kiyoki, Issei Fujishiro. THEMIS: Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning. In Alexei Sourin, Christophe Rosenberger, Olga Sourina, editors, International Conference on Cyberworlds, CW 2021, Caen, France, September 28-30, 2021. pages 129-132, IEEE, 2021. [doi]

@inproceedings{AsayamaWNSAKF21,
  title = {THEMIS: Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning},
  author = {Yume Asayama and Baoqing Wang and Masanori Nakayama and Hideki Shohjoh and Noboru Adachi and Yasushi Kiyoki and Issei Fujishiro},
  year = {2021},
  doi = {10.1109/CW52790.2021.00028},
  url = {https://doi.org/10.1109/CW52790.2021.00028},
  researchr = {https://researchr.org/publication/AsayamaWNSAKF21},
  cites = {0},
  citedby = {0},
  pages = {129-132},
  booktitle = {International Conference on Cyberworlds, CW 2021, Caen, France, September 28-30, 2021},
  editor = {Alexei Sourin and Christophe Rosenberger and Olga Sourina},
  publisher = {IEEE},
  isbn = {978-1-6654-4065-3},
}