OPG-Based Dental Age Estimation Using a Data-Technical Exploration of Deep Learning Techniques KU Leuven
Dental age estimation, a cornerstone in forensic age assessment, has been extensively tried and tested, yet manual methods are impeded by tedium and interobserver variability. Automated approaches using deep transfer learning encounter challenges like data scarcity, suboptimal training, and fine-tuning complexities, necessitating robust training methods. This study explores the impact of convolutional neural network (CNN) hyperparameters, model ...