Publications by authors named "Wuci Yi"
J World Fed Orthod
November 2024
Article Synopsis
- The study introduces CDSNet, a deep learning model designed to assess growth stages in orthodontics based on cervical vertebrae, dentition, and frontal sinus data from lateral cephalograms.
- CDSNet was tested on a dataset of 1,732 patient pairs, showing significant improvements in accuracy and precision compared to traditional methods like Cervical Vertebrae Maturation (CVM) and logistic regression.
- The model's interpretable features help clinicians in identifying growth stages, especially for patients whose growth characteristics are less defined, enhancing diagnostic accuracy in orthodontic treatments.
