A benchmark multimodal oro-dental dataset for large vision-language models
- DOI
- 10.1038/s41597-026-07342-9
- Published
- 2026-04-30
- Container
- Scientific Data
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41597-026-07342-9,
title = {A benchmark multimodal oro-dental dataset for large vision-language models},
author = {Haoxin Lv and Ijazul Haq and Jin Du and Jiaxin Ma and Binnian Zhu and Xiaobing Dang and Chaoan Liang and Ruxu Du and Yingjie Zhang and Muhammad Saqib},
year = {2026},
journal = {Scientific Data},
doi = {10.1038/s41597-026-07342-9},
url = {https://doi.org/10.1038/s41597-026-07342-9}
}RIS
TY - JOUR TI - A benchmark multimodal oro-dental dataset for large vision-language models AU - Haoxin Lv AU - Ijazul Haq AU - Jin Du AU - Jiaxin Ma AU - Binnian Zhu AU - Xiaobing Dang AU - Chaoan Liang AU - Ruxu Du AU - Yingjie Zhang AU - Muhammad Saqib PY - 2026 JO - Scientific Data DO - 10.1038/s41597-026-07342-9 UR - https://doi.org/10.1038/s41597-026-07342-9 ER -
APA
Lv, H., Haq, I., Du, J., Ma, J., Zhu, B., Dang, X., Liang, C., Du, R., Zhang, Y., & Saqib, M. (2026). A benchmark multimodal oro-dental dataset for large vision-language models. Scientific Data. https://doi.org/10.1038/s41597-026-07342-9
Source records
- crossref · retrieved 2026-09-25T23:29:53.466Z