Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging.
Journal:
Dento maxillo facial radiology
PMID:
39775796
Abstract
OBJECTIVES: To identify landmarks in ultrasound periodontal images and automate the image-based measurements of gingival recession (iGR), gingival height (iGH), and alveolar bone level (iABL) using machine learning.