Age estimation based on 3D pulp segmentation of first molars from CBCT images using U-Net

Abstract

The trained U-Net model can accurately segment pulp cavity of the first molars from three-dimensional cone-beam CT images. The segmented pulp cavity volumes could be used to estimate the human ages with reasonable precision and accuracy.