一种基于口腔影像数据的牙齿状态评估方法、装置及系统
By acquiring multi-angle oral cavity images and peripheral data during tooth detection, and using backbone networks and path aggregation networks for feature extraction and fusion, the problem of insufficient precision and weak domain knowledge integration in existing technologies is solved, thus achieving efficient tooth condition assessment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANXI MEDICAL UNIV
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing dental detection technologies suffer from insufficient precision, weak integration of domain knowledge, and poor coupling between multiple tasks in multi-angle and multi-surface detection scenarios, making it difficult to achieve fine segmentation at the tooth surface level and effectively utilize prior knowledge in oral medicine.
By acquiring multi-angle oral cavity images and peripheral data, a backbone network is used to extract multi-scale feature maps, and feature calibration is performed by combining channel attention weight vectors. A path aggregation network is used for feature fusion, and a composite loss function is used to optimize the model, thereby achieving efficient detection for multiple tasks.
It improves the accuracy and efficiency of tooth condition assessment, enabling comprehensive detection of macroscopic defects ranging from minute caries to dental arch morphology, and reducing missed detections due to lack of perspective.
Smart Images
Figure CN122415494A_ABST