Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer.

Journal: BMC medical informatics and decision making
PMID: 39174951

Abstract

BACKGROUND: Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out depending on the midpalatal suture maturation levels, and the diagnosis was validated by palatal plane cone beam computed tomography (CBCT) images by orthodontists, while such a method suffered from low efficiency and strong subjectivity. This study develops and evaluates an enhanced vision transformer (ViT) to automatically classify CBCT images of midpalatal sutures with different maturation stages.

Authors

  • Haomin Tang
    College of Medicine, Guizhou University, Guiyang, China.
  • Shu Liu
    Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China. Electronic address: liushuhit@outlook.com.
  • Weijie Tan
    School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, 200433, China. Electronic address: tanwj_1@163.com.
  • Lingling Fu
    College of Medicine, Guizhou University, Guiyang, China.
  • Ming Yan
  • Hongchao Feng
    Department of Oral and Maxillofacial Surgery, Guiyang Hospital of Stomatology, Guiyang, 550002, China. hongchaof@126.com.

Keywords

External Resources

Popular Topics
Recent Journals