Automatic bone age assessment: a deep learning case study on the Brazilian population with a supporting mobile application prototype
- DOI
- 10.1038/s41598-025-34651-7
- Published
- 2026-01-09
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-34651-7,
title = {Automatic bone age assessment: a deep learning case study on the Brazilian population with a supporting mobile application prototype},
author = {Rafael do Amaral Teodoro and Filipe Verrone de Lima and Mirela Popa and Gustavo Scalabrini Sampaio and Cristiane Kochi and Carlos Alberto Longui and Leandro Augusto da Silva},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-34651-7},
url = {https://doi.org/10.1038/s41598-025-34651-7}
}RIS
TY - JOUR TI - Automatic bone age assessment: a deep learning case study on the Brazilian population with a supporting mobile application prototype AU - Rafael do Amaral Teodoro AU - Filipe Verrone de Lima AU - Mirela Popa AU - Gustavo Scalabrini Sampaio AU - Cristiane Kochi AU - Carlos Alberto Longui AU - Leandro Augusto da Silva PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-025-34651-7 UR - https://doi.org/10.1038/s41598-025-34651-7 ER -
APA
Teodoro, R. D. A., Lima, F. V. D., Popa, M., Sampaio, G. S., Kochi, C., Longui, C. A., & Silva, L. A. D. (2026). Automatic bone age assessment: a deep learning case study on the Brazilian population with a supporting mobile application prototype. Scientific Reports. https://doi.org/10.1038/s41598-025-34651-7
Source records
- crossref · retrieved 2026-09-27T00:22:10.172Z