Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models.

Journal: Dento maxillo facial radiology
Published Date: Mar 9, 2020

Abstract

OBJECTIVES: This study aimed to develop five different supervised machine learning (ML) classifier models using artificial intelligence (AI) techniques and to compare their performance for cervical vertebral maturation (CVM) analysis. A clinical decision support system (CDSS) was developed for more objective results.

Authors

  • Hakan Amasya
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Suleyman Demirel University, Isparta, Turkey.
  • Derya Yildirim
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Suleyman Demirel University, Isparta, Turkey.
  • Turgay Aydogan
    Department of Computer Engineering, Faculty of Engineering, Suleyman Demirel University, Isparta, Turkey.
  • Nazan Kemaloglu
    Graduate School of Natural and Applied Sciences, Suleyman Demirel University, Isparta, Turkey.
  • Kaan Orhan
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.

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