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


AMASYA H., YILDIRIM D., AYDOĞAN T., Kemaloglu N., Orhan K.

DENTOMAXILLOFACIAL RADIOLOGY, vol.49, no.5, 2020 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 49 Issue: 5
  • Publication Date: 2020
  • Doi Number: 10.1259/dmfr.20190441
  • Journal Name: DENTOMAXILLOFACIAL RADIOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Süleyman Demirel University Affiliated: Yes

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.