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Evaluating The Efficacy Of Convolution Neural Networks In Age At Deat Estimation Using 3d Scans Of The Pubic Symphyseal Face, Melissa A. Brown
Evaluating The Efficacy Of Convolution Neural Networks In Age At Deat Estimation Using 3d Scans Of The Pubic Symphyseal Face, Melissa A. Brown
Masters Theses
The research presented assesses the utility of machine learning approaches, specifically convolutional neural networks (CNNs), to the estimation of age at death in adult decedents by analysis of the pubic symphyseal face of the os coxa rendered as a 3D image. Age at death estimation is an important duty of forensic anthropologists working in medico-legal contexts, as well as bioarcheological researchers. The purpose of this study is to evaluate the accuracy of a CNN relative to the performance of human observers using traditional methods of age estimation. To accomplish this, a CNN created for this project and expert anthropologists were …