Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data

Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida. Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. In Guang Yang 0006, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb, editors, Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Volume 13413 of Lecture Notes in Computer Science, pages 609-622, Springer, 2022. [doi]

@inproceedings{KadotaHBTU22,
  title = {Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data},
  author = {Takeaki Kadota and Hideaki Hayashi and Ryoma Bise and Kiyohito Tanaka and Seiichi Uchida},
  year = {2022},
  doi = {10.1007/978-3-031-12053-4_45},
  url = {https://doi.org/10.1007/978-3-031-12053-4_45},
  researchr = {https://researchr.org/publication/KadotaHBTU22},
  cites = {0},
  citedby = {0},
  pages = {609-622},
  booktitle = {Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings},
  editor = {Guang Yang 0006 and Angelica I. Avilés-Rivero and Michael Roberts and Carola-Bibiane Schönlieb},
  volume = {13413},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-12053-4},
}