5results about How to "Accurate quantitative analysis" patented technology

This application discloses a flexible light-emitting sensor, its fabrication method, and its application in the non-destructive detection of mercury ions, belonging to the field of sensor materials and detection technology. The technical solution of this application introduces phycocyanin as a functional crosslinking agent into a polyacrylamide (PAAM) network. The prepared phycocyanin-polyacrylamide (PC-PAAM) hydrogel combines the structural stability of polyacrylamide with the fluorescence properties and chemical reactivity of phycocyanin. This gel, within a soft and biocompatible monomer network, integrates strong responsive fluorescence, intrinsic antioxidant protection, and excellent underwater adhesion, achieving direct fingertip contact surface sensing with a synergistic mechano-optical effect. Furthermore, by combining a machine learning model trained based on hydrogel fluorescence images, it can further support precise, portable, and visualized quantitative analysis of mercury ion pollution using smartphone imaging technology.

The application discloses damaged mitochondria as a malignant tumor metastasis prediction marker, and an application and detection system thereof, and is used for solving the problems of lacking specific prediction indexes and efficient and feasible prediction means for predicting malignant tumor metastasis in the prior art. The application rapidly enriches mitochondria from a to-be-detected plasma sample, detects the concentration of the prediction marker damaged mitochondria, and predicts the malignant tumor metastasis risk of a patient corresponding to the to-be-detected plasma sample based on the concentration of the prediction marker damaged mitochondria, so that whether the tumor patient will have metastasis in the future can be simply, rapidly and accurately predicted.

The application relates to the technical field of intelligent interaction systems and automobile customer service marketing, and discloses a traffic automobile customer service marketing method and system based on a large language model, wherein the traffic automobile customer service marketing method based on the large language model comprises the following steps: collecting driver fixation point data by using an eye movement tracking algorithm to generate eye movement trajectory data sets; constructing a visual attention heat map to form a user attention distribution model; calculating multi-medium characteristic parameters to establish a medium characteristic model; using the large language model to generate and adapt personalized marketing content and output multi-medium compatible marketing information; realizing intelligent attention guidance according to the user attention distribution model, the medium characteristic model and the multi-medium compatible marketing information; and realizing accurate perception and quantitative analysis of the visual attention of the driver through the eye movement tracking technology, so that the marketing system can master the user focus points in real time, and the technical problem that a traditional interface cannot perceive actual user focus points is solved.

The application discloses an ultrasonic uterine junction zone evaluation system, and the subjective process is converted into objective mathematical calculation through image processing and computer vision algorithm. Specifically, after the image quality is optimized by using anisotropic diffusion filtering and CLAHE algorithm, a hybrid segmentation technology based on edge detection and three-dimensional region growth is adopted to accurately extract a three-dimensional geometric model of JZ. On this basis, the integrity of JZ is quantified by defining and calculating a core parameter, namely, continuity index (CI). The algorithm samples along the center line system of JZ, analyzes the mutation of the local width of adjacent points, and accurately represents the continuity degree of the ring structure by using a mathematical proportion (CI value).

The application provides a CT image-oriented interactive three-dimensional reconstruction and classification method, device and equipment, relates to the technical field of image classification, and the method comprises the following steps: inputting a plurality of second CT images into a general volumetric medical image segmentation model for interactive segmentation, performing three-dimensional reconstruction on a target mask obtained to obtain a first target model; the smoothness of the surface of the first target model is optimized based on a geodesic active contour method, and a target region of a second target model is extracted; volume measurement is performed on the target region to obtain volume data information to classify the plurality of second CT images. The application uses a general volumetric medical image segmentation model to perform interactive segmentation on a plurality of second CT images, in order to improve the accuracy of model calculation, the application optimizes the smoothness of the surface of the first target model based on a geodesic active contour method, and the volume size of a target region representing lesion information is calculated based on the second target model to perform accurate classification.