DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs

DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs

Abstract Background Age estimation from panoramic radiographs is a fundamental task in forensic sciences. Previous age assessment studies mainly focused on juvenile rather than elderly populations (> 25 years old). Most proposed studies were statistical or scoring-based, requiring wet-lab experim...

Full description

Bibliographic Details
Main Authors: Xuedong Wang, Yanle Liu, Xinyao Miao, Yin Chen, Xiao Cao, Yuchen Zhang, Shuaicheng Li, Qin Zhou
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Bioinformatics
Subjects:
Soft Stagewise Regression Network
Chronological age estimation
Forensic anthropology
Orthopantomogram
Online Access:https://doi.org/10.1186/s12859-022-04935-0

Internet

https://doi.org/10.1186/s12859-022-04935-0

Similar Items