Research on Dental Disease Recognition Based on Convolutional Neural Network

Objective: To analyze and evaluate X-ray to help dentists formulate scientific Dental disease treatment program. Methods: A number of patients who came to our hospital for dental disease treatment were selected. The convolutional neural network and neural network algorithm were used to segment the patient’s dental X-ray images to achieve dental image analysis and determine dental disease. Results: The result 13.3% higher than that is confirming the validity of the convolutional neural network in X-ray images of dental diseases. Conclusion: Technology is a feasible method for diagnosing dental diseases and it is worthy of clinical promotion.