Multimodal caries depth intelligent interpretation method fusing intraoral photos and x-ray films
By integrating intraoral photographs and X-rays, a multimodal intelligent caries depth interpretation method is developed. This method utilizes a dual-channel convolutional neural network and a caries lesion dynamic encoder to solve the problems of rigid modal weight allocation and lack of pathological mechanisms in existing technologies. It achieves dynamic interpretation and clinical interpretability of caries depth, improving the accuracy and robustness of caries interpretation.
CN121937802BActive Publication Date: 2026-07-24HOSPITAL OF STOMATOLOGY GUANGZHOU MEDICAL UNIVERSITY (YANGCHENG HOSPITAL OF GUANGZHOU MEDICAL UNIVERSITY)
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HOSPITAL OF STOMATOLOGY GUANGZHOU MEDICAL UNIVERSITY (YANGCHENG HOSPITAL OF GUANGZHOU MEDICAL UNIVERSITY)
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-24
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Figure CN121937802B_ABST
Abstract
The application provides a multi-modal caries depth intelligent interpretation method fusing intraoral photos and X-ray films, and through standardized oral multi-modal medical image and pathological data synchronous collection, spatial registration and pixel-level normalization, the spatiotemporal consistency of clinical images and histopathological data is realized, the application utilizes a double-channel convolutional neural network and a lightweight LSTM, applies a physical constraint gate unit to perform channel re-labeling on a double-modal shallow feature map, generates a re-labeled feature map, and after splicing, outputs a caries depth grading interpretation result through a decoding network, so that the accuracy and consistency of caries depth grading interpretation are effectively improved.
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