Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support.
- DOI
- 10.1016/j.identj.2026.109486
- Published
- 2026 Jun
- Container
- International dental journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.identj.2026.109486,
title = {Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support.},
author = {Cheng B and Xiang M and Zhao Z and Zhang X and Wang YF and Ge S and Zhao F and Li M and Wang H},
year = {2026},
journal = {International dental journal},
doi = {10.1016/j.identj.2026.109486},
url = {https://doi.org/10.1016/j.identj.2026.109486}
}RIS
TY - JOUR TI - Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support. AU - Cheng B AU - Xiang M AU - Zhao Z AU - Zhang X AU - Wang YF AU - Ge S AU - Zhao F AU - Li M AU - Wang H PY - 2026 JO - International dental journal DO - 10.1016/j.identj.2026.109486 UR - https://doi.org/10.1016/j.identj.2026.109486 ER -
APA
B, C., M, X., Z, Z., X, Z., YF, W., S, G., F, Z., M, L., & H, W. (2026). Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support.. International dental journal. https://doi.org/10.1016/j.identj.2026.109486
Source records
- pubmed · retrieved 2026-09-27T06:24:59.607Z