Fully automated deep learning for the identification and classification of dental implant brands from multimodal radiographic images.

Bai B, Zhu X, Diao Y, Han X, Wang H, Zhou Y, Wang Y, Zhu P, Chen C

Open source

DOI
10.1007/s00784-026-07095-0
Published
2026 Aug 20
Container
Clinical oral investigations
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s00784-026-07095-0,
  title = {Fully automated deep learning for the identification and classification of dental implant brands from multimodal radiographic images.},
  author = {Bai B and Zhu X and Diao Y and Han X and Wang H and Zhou Y and Wang Y and Zhu P and Chen C},
  year = {2026},
  journal = {Clinical oral investigations},
  doi = {10.1007/s00784-026-07095-0},
  url = {https://doi.org/10.1007/s00784-026-07095-0}
}

RIS

TY  - JOUR
TI  - Fully automated deep learning for the identification and classification of dental implant brands from multimodal radiographic images.
AU  - Bai B
AU  - Zhu X
AU  - Diao Y
AU  - Han X
AU  - Wang H
AU  - Zhou Y
AU  - Wang Y
AU  - Zhu P
AU  - Chen C
PY  - 2026
JO  - Clinical oral investigations
DO  - 10.1007/s00784-026-07095-0
UR  - https://doi.org/10.1007/s00784-026-07095-0
ER  - 

APA

B, B., X, Z., Y, D., X, H., H, W., Y, Z., Y, W., P, Z., & C, C. (2026). Fully automated deep learning for the identification and classification of dental implant brands from multimodal radiographic images.. Clinical oral investigations. https://doi.org/10.1007/s00784-026-07095-0

Source records