Cargando…
Age group prediction with panoramic radiomorphometric parameters using machine learning algorithms
The aim of this study is to investigate the relationship of 18 radiomorphometric parameters of panoramic radiographs based on age, and to estimate the age group of people with permanent dentition in a non-invasive, comprehensive, and accurate manner using five machine learning algorithms. For the st...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271070/ https://www.ncbi.nlm.nih.gov/pubmed/35810213 http://dx.doi.org/10.1038/s41598-022-15691-9 |