Machine learning assessment of dental age classification based on cone-beam CT images: a different approach
Author:
Affiliation:
1. Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Hacettepe University , Sihhiye, Ankara 06230, Turkey
2. Department of Biostatistics, Faculty of Medicine, Erciyes University , Kayseri 38039, Turkey
Abstract
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/dmfr/advance-article-pdf/doi/10.1093/dmfr/twad009/54650927/twad009.pdf
Reference31 articles.
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2. Bayesian networks of age estimation and classification based on dental evidence: a study on the third molar mineralization;Sironi;J Forensic Leg Med,2018
3. Precision and reliability of pulp/tooth area ratio (RA) of second molar as indicator of adult age;Cameriere;J Forensic Sci,2004
4. Age calculation using X-ray microfocus computed tomographical scanning of teeth: a pilot study;Vandevoort;J Forensic Sci,2004
5. Age estimation by pulp-to-tooth area ratio using cone-beam computed tomography: a preliminary analysis;Rai;J Forensic Dent Sci,2016
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