Construction and application of forensic identification model for traumatic brain injury under deep learning algorithm

This study developed a forensic identification model for traumatic brain injury based on deep learning algorithms to improve the accuracy and efficiency of forensic imaging analysis. Through large-scale data training, the model has achieved automated classification of brain injuries and visual localization of injury areas, significantly improving its ability to identify different types of injuries. The experimental results show that the model outperforms traditional methods in terms of accuracy, sensitivity, and specificity, validating the potential of deep learning in forensic applications. The research provides scientific support and technological pathways for intelligent identification of traumatic brain injury.