Machine learning assessment of dental age classification based on cone-beam CT images: a different approach.
Ozlem Busra DoganHatice BoyaciogluDincer GoksulukPublished in: Dento maxillo facial radiology (2024)
According to our results, models were found to be low in performance but were considered as a different approach. We suggest examining the different parameters derived from different measuring techniques in the data obtained from CBCT images in order to develop ML algorithms for age classification in forensic situations.
Keyphrases
- deep learning
- machine learning
- cone beam
- big data
- artificial intelligence
- convolutional neural network
- image quality
- optical coherence tomography
- computed tomography
- electronic health record
- magnetic resonance imaging
- oral health
- dual energy
- contrast enhanced
- cone beam computed tomography
- magnetic resonance
- data analysis