Oral squamous cell carcinoma diagnosis: an interpretable deep learning approach using multi-scale pathological images
- DOI
- 10.1186/s12903-026-08945-9
- Published
- 2026-06-25
- Container
- BMC Oral Health
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12903-026-08945-9,
title = {Oral squamous cell carcinoma diagnosis: an interpretable deep learning approach using multi-scale pathological images},
author = {Yuchen Cui and Xiaoli Gao and Wei Guo and Ying Jin and Yu Liu and Yixuan Qin and Zuomin Wang},
year = {2026},
journal = {BMC Oral Health},
doi = {10.1186/s12903-026-08945-9},
url = {https://doi.org/10.1186/s12903-026-08945-9}
}RIS
TY - JOUR TI - Oral squamous cell carcinoma diagnosis: an interpretable deep learning approach using multi-scale pathological images AU - Yuchen Cui AU - Xiaoli Gao AU - Wei Guo AU - Ying Jin AU - Yu Liu AU - Yixuan Qin AU - Zuomin Wang PY - 2026 JO - BMC Oral Health DO - 10.1186/s12903-026-08945-9 UR - https://doi.org/10.1186/s12903-026-08945-9 ER -
APA
Cui, Y., Gao, X., Guo, W., Jin, Y., Liu, Y., Qin, Y., & Wang, Z. (2026). Oral squamous cell carcinoma diagnosis: an interpretable deep learning approach using multi-scale pathological images. BMC Oral Health. https://doi.org/10.1186/s12903-026-08945-9
Source records
- crossref · retrieved 2026-09-26T18:01:57.630Z