Deep learning for automated mandibular canal segmentation in CBCT scans.
Objective: This study aims to develop a framework for automated mandibular canal segmentation in cone beam computed tomography (CBCT) scans. The dataset, source code, and trained models are publicly accessible, allowing for reproducibility and further development by the research community. Methods:...
| Publicado en: | BMC Oral Health Vol. 25; no. 1; pp. 1 - 11 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
BioMed Central
10/29/2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |