U-net-based segmentation of foreign bodies and ghost images in panoramic radiographs.
Objectives: This study aimed to develop and evaluate a deep convolutional neural network (CNN) model for the automatic segmentation of foreign bodies and ghost images in panoramic radiographs (PRs), which can complicate diagnostic interpretation. Methods: A dataset of 11,226 PRs from four devices wa...
| Publicado en: | Oral Radiology Vol. 42; no. 2; pp. 333 - 341 |
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| Autores principales: | , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |