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, cilt.49, sa.5, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 49 Sayı: 5
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1259/dmfr.20190441
  • Dergi Adı: DENTOMAXILLOFACIAL RADIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Anahtar Kelimeler: Artificial Intelligence, Machine Learning, Age Determination by Skeleton, Cervical Vertebrae, Radiology, RELIABILITY, AGE
  • Ankara Üniversitesi Adresli: Evet

Özet

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.