Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.
- DOI
- 10.1007/s12194-026-01116-z
- Published
- 2026 Sep
- Container
- Radiological physics and technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12194-026-01116-z,
title = {Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.},
author = {Hanada K and Suzuki H and Takahashi M and Fuse H and Kimura M and Sasaki K and Yasue K and Nosaka H and Miyakawa S and Koori N},
year = {2026},
journal = {Radiological physics and technology},
doi = {10.1007/s12194-026-01116-z},
url = {https://doi.org/10.1007/s12194-026-01116-z}
}RIS
TY - JOUR TI - Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video. AU - Hanada K AU - Suzuki H AU - Takahashi M AU - Fuse H AU - Kimura M AU - Sasaki K AU - Yasue K AU - Nosaka H AU - Miyakawa S AU - Koori N PY - 2026 JO - Radiological physics and technology DO - 10.1007/s12194-026-01116-z UR - https://doi.org/10.1007/s12194-026-01116-z ER -
APA
K, H., H, S., M, T., H, F., M, K., K, S., K, Y., H, N., S, M., & N, K. (2026). Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.. Radiological physics and technology. https://doi.org/10.1007/s12194-026-01116-z
Source records
- pubmed · retrieved 2026-09-25T21:29:19.185Z