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

AMASYA, HAKAN; YILDIRIM, Derya; AYDOĞAN, Turgay; Kemaloglu, Nazan; ORHAN, KAAN

doi:10.1259/dmfr.20190441

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, Scopus)

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.