11 - Three-Dimensional Convolutional Neural Network for Age-at-Death Estimation of Deceased Individuals through Cranial Computed Tomography Scans

Presenters

Maya Joshi, Princeton University; and Sean Tallman, Boston University

Abstract

Accurate age-at-death (AAD) estimation is integral in establishing biological profiles in forensic anthropology, though some have argued that standardized multivariate techniques are lacking. The current study developed and tested a three-dimensional convolutional neural network and three model variations with 1,224 deidentified cranial CT scans from the New Mexico Decedent Image Database. Each model required an input of an individual's cranial CT scan and outputted an AAD estimation. Model 3 was superior, successfully predicting AAD within 1.5 decades.