Hybrid approach with convolutional neural network and regression models for age estimation in panoramic radiographs
- DOI
- 10.1007/s00414-026-03927-6
- Published
- 2026-07-29
- Container
- International Journal of Legal Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00414-026-03927-6,
title = {Hybrid approach with convolutional neural network and regression models for age estimation in panoramic radiographs},
author = {Jhonatan Thiago Lacerda-Santos and José Alberto Souza Paulino and Hiarles Barreto Sampaio Brito and Fabiana Tolentino Almeida and Patrícia Meira Bento and Daniela Pita de Melo},
year = {2026},
journal = {International Journal of Legal Medicine},
doi = {10.1007/s00414-026-03927-6},
url = {https://doi.org/10.1007/s00414-026-03927-6}
}RIS
TY - JOUR TI - Hybrid approach with convolutional neural network and regression models for age estimation in panoramic radiographs AU - Jhonatan Thiago Lacerda-Santos AU - José Alberto Souza Paulino AU - Hiarles Barreto Sampaio Brito AU - Fabiana Tolentino Almeida AU - Patrícia Meira Bento AU - Daniela Pita de Melo PY - 2026 JO - International Journal of Legal Medicine DO - 10.1007/s00414-026-03927-6 UR - https://doi.org/10.1007/s00414-026-03927-6 ER -
APA
Lacerda-Santos, J. T., Paulino, J. A. S., Brito, H. B. S., Almeida, F. T., Bento, P. M., & Melo, D. P. D. (2026). Hybrid approach with convolutional neural network and regression models for age estimation in panoramic radiographs. International Journal of Legal Medicine. https://doi.org/10.1007/s00414-026-03927-6
Source records
- crossref · retrieved 2026-09-27T10:15:07.872Z