Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.

Okamoto H, Cap QH, Nomura T, Nabeshima K, Hashimoto J, Iyatomi H

DOI: 10.1016/j.artmed.2025.103075
Published: 2025 Mar
Container: Artificial intelligence in medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.artmed.2025.103075,
  title = {Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.},
  author = {Okamoto H and Cap QH and Nomura T and Nabeshima K and Hashimoto J and Iyatomi H},
  year = {2025},
  journal = {Artificial intelligence in medicine},
  doi = {10.1016/j.artmed.2025.103075},
  url = {https://doi.org/10.1016/j.artmed.2025.103075}
}

RIS

TY  - JOUR
TI  - Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.
AU  - Okamoto H
AU  - Cap QH
AU  - Nomura T
AU  - Nabeshima K
AU  - Hashimoto J
AU  - Iyatomi H
PY  - 2025
JO  - Artificial intelligence in medicine
DO  - 10.1016/j.artmed.2025.103075
UR  - https://doi.org/10.1016/j.artmed.2025.103075
ER  -

APA

H, O., QH, C., T, N., K, N., J, H., & H, I. (2025). Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2025.103075

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pubmed · retrieved 2026-09-26T22:13:56.369Z