2results about How to "Achieve early detection" patented technology

The application discloses a feature automatic extraction method around a tooth boundary and a lesion recognition method, relates to the technical field of oral medicine, and comprises the following steps: acquiring a digital image of an oral X-ray apical film to be processed; performing automatic segmentation and contour extraction on a target tooth in the digital image of the oral X-ray apical film to obtain a tooth contour line of the target tooth; performing normalization processing on the tooth contour line; and traversing each boundary pixel point on the tooth contour line to generate an edge band feature map of the target tooth. The application can effectively extract local features highly related to lesions, especially features of a tooth boundary region, from the oral X-ray apical film, so that the recognition capability for early micro-lesions is improved.

This invention relates to the field of medical management system technology, specifically disclosing a prognostic management system for patients with autoimmune diseases. It adopts an edge-cloud collaborative architecture, comprising a multimodal edge data acquisition and preprocessing module, an edge-end real-time status monitoring module, a cloud-based progressive prognostic assessment module, an intervention intensity matching and adverse reaction early warning module, an intervention effect closed-loop correction and federated learning module, and a doctor-patient shared decision-making and data feedback module, all connected sequentially. This invention simultaneously collects multi-dimensional patient data, achieving a comprehensive understanding of the patient's condition. Simultaneously, it performs preliminary data quality control and real-time status monitoring at the edge, reducing the computational burden on the cloud and enabling timely identification of sudden abnormalities in the patient's condition and triggering local early warnings. By calculating the effective contribution coefficients of each modality of data, the impact of different data on prognosis can be dynamically assessed, improving the effectiveness of data utilization.