Exploring the potential of machine learning models to predict nasal measurements through facial landmarks.

Abstract

Authors

• Remya Ampadi Ramachandran
  Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA. rampad2@uic.edu.
• Merve Koseoglu
  Associate Professor, Department of Prosthodontics, Faculty of Dentistry, University of Sakarya, Sakarya, Turkey; and PhD student, Department of Prosthodontics, Faculty of Dentistry, University of Ataturk, Erzurum, Turkey.
• Esra Incesu Cinka
  Asistant Professor, Department of Prosthodontics, Faculty of Dentistry, University of Sakarya, Sakarya, Turkey.
• Valentim A R Barão
  Associate Professor, Department of Prosthodontics and Periodontology, Piracicaba Dental School, Universidade Estadual de Campinas (UNICAMP), Piracicaba, Sao Paulo, Brazil.
• Funda Bayindir
  Department of Prosthodontics, Faculty of Dentistry, University of Ataturk, Erzurum, Turkey.
• Alvin G Wee
  Professor, Washington Dental Service Endowed Chair in Dentistry and Chair, Department of Restorative Dentistry, University of Washington School of Dentistry, Seattle, Wash.
• Judy Chia-Chun Yuan
  Department of Restorative Dentistry, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
• Cortino Sukotjo
  Department of Prosthodontics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Keywords

External Resources