This research investigates the application of deep learning techniques for automatic age and gender estimation from skeletal radiographs. The study develops convolutional neural network models that can accurately predict demographic information from medical imaging data, contributing to automated medical image analysis and forensic applications.
Alaa, Polla Fattah. ‘Age and Gender Estimation from Skeletal Radiographs Using Deep Learning.’ Medical Image Analysis, 2024.