Feasibility of AI-Based Wheelchair Classification for MRI Anteroom Safety Management: A Single-Centre Deep Learning Object-Detection Study.
- DOI
- 10.1007/s10278-026-02219-0
- Published
- 2026 Aug 26
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02219-0,
title = {Feasibility of AI-Based Wheelchair Classification for MRI Anteroom Safety Management: A Single-Centre Deep Learning Object-Detection Study.},
author = {Suzuki T and Yamada S and Nakata K and Uchikura S and Nagayoshi J},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02219-0},
url = {https://doi.org/10.1007/s10278-026-02219-0}
}RIS
TY - JOUR TI - Feasibility of AI-Based Wheelchair Classification for MRI Anteroom Safety Management: A Single-Centre Deep Learning Object-Detection Study. AU - Suzuki T AU - Yamada S AU - Nakata K AU - Uchikura S AU - Nagayoshi J PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02219-0 UR - https://doi.org/10.1007/s10278-026-02219-0 ER -
APA
T, S., S, Y., K, N., S, U., & J, N. (2026). Feasibility of AI-Based Wheelchair Classification for MRI Anteroom Safety Management: A Single-Centre Deep Learning Object-Detection Study.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02219-0
Source records
- pubmed · retrieved 2026-09-25T10:07:04.799Z