Oral Jawbone Cystic Lesions' Intelligent Classification: Exploration and Practice of the Vision Transformer Model

Dental image analysis is one of the main methods for diagnosing oral diseases. By processing dental images through artificial intelligence algorithms, the proposed diagnostic opinions can greatly improve diagnostic efficiency and accuracy, and have considerable medical value and potential for improvement. In recent years, the Vision Transformer model has been applied to medical image classification, and its performance has significantly outperformed CNN. This article focuses on the classification of jaw cystic lesions in oral CBCT images and classifies them based on the Vision Transformer model. The classification accuracy based on the Vision Transformer model reached 96.9%, significantly superior to other comparison models.