Deep Learning for Automated Cervical Vertebral Maturation Staging in CBCT Scans
Automated deep learning algorithms can classify cervical vertebral maturation stages from cone-beam computed tomography scans with up to 88.54% accuracy, according to a recent diagnostic imaging study. Orthodontists rely on skeletal maturity assessments to time interventions like myofunctional appliances and orthognathic surgery. Deep Learning Approaches to Cervical Vertebral Maturation Staging Researchers evaluated deep learning algorithms … Read more