Automated estimation of chronological age from panoramic dental X-ray images using deep learning
作者：
Highlights：
• Age estimation of adults is a hard problem in forensic odontology.
• Only manual measurement methods are currently used in practice.
• This deep learning approach eclipses expert performance in a fraction of the time.
• The interpretability analysis gives new insight into anatomical changes due to age.
• The method is verified on the largest dataset in literature.
摘要
•Age estimation of adults is a hard problem in forensic odontology.•Only manual measurement methods are currently used in practice.•This deep learning approach eclipses expert performance in a fraction of the time.•The interpretability analysis gives new insight into anatomical changes due to age.•The method is verified on the largest dataset in literature.
论文关键词：Age estimation,Convolutional neural network,Deep learning,Forensic odontology,Image processing,Medical image analysis
论文评审过程：Received 19 February 2021, Revised 23 August 2021, Accepted 3 October 2021, Available online 16 October 2021, Version of Record 25 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116038
