Deep Learning Approaches to Address the Shortage of Observers

Nariaki Tabata, Tetsuya Ijichi, Masaya Tominaga, Kazunori Kitajima, Shuto Okaba, Lisa Sonoda, Shinichi Katou, Tomoya Masumoto, Asami Obata, Yuna Kawahara, Toshirou Inoue, Tadamitsu Ideguchi

Open source

DOI: 10.6009/jjrt.25-1554
Published: 2025
Container: Japanese Journal of Radiological Technology
Publisher: Japanese Society of Radiological Technology
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.6009/jjrt.25-1554,
  title = {Deep Learning Approaches to Address the Shortage of Observers},
  author = {Nariaki Tabata and Tetsuya Ijichi and Masaya Tominaga and Kazunori Kitajima and Shuto Okaba and Lisa Sonoda and Shinichi Katou and Tomoya Masumoto and Asami Obata and Yuna Kawahara and Toshirou Inoue and Tadamitsu Ideguchi},
  year = {2025},
  journal = {Japanese Journal of Radiological Technology},
  doi = {10.6009/jjrt.25-1554},
  url = {https://doi.org/10.6009/jjrt.25-1554}
}

RIS

TY  - JOUR
TI  - Deep Learning Approaches to Address the Shortage of Observers
AU  - Nariaki Tabata
AU  - Tetsuya Ijichi
AU  - Masaya Tominaga
AU  - Kazunori Kitajima
AU  - Shuto Okaba
AU  - Lisa Sonoda
AU  - Shinichi Katou
AU  - Tomoya Masumoto
AU  - Asami Obata
AU  - Yuna Kawahara
AU  - Toshirou Inoue
AU  - Tadamitsu Ideguchi
PY  - 2025
JO  - Japanese Journal of Radiological Technology
DO  - 10.6009/jjrt.25-1554
UR  - https://doi.org/10.6009/jjrt.25-1554
ER  -

APA

Tabata, N., Ijichi, T., Tominaga, M., Kitajima, K., Okaba, S., Sonoda, L., Katou, S., Masumoto, T., Obata, A., Kawahara, Y., Inoue, T., & Ideguchi, T. (2025). Deep Learning Approaches to Address the Shortage of Observers. Japanese Journal of Radiological Technology. https://doi.org/10.6009/jjrt.25-1554

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crossref · retrieved 2026-09-27T15:54:38.986Z