5results about How to "Extract comprehensive" patented technology

The application relates to a tumor intraoperative evaluation method and system based on multi-wavelength photoacoustic mathematical statistics analysis, wherein the method comprises the following steps: irradiating a tumor tissue with a pulsed laser during operation, collecting photoacoustic signals at different wavelengths in time sequence according to a preset wavelength sequence, performing mathematical statistics spectrum analysis after pretreatment to obtain multi-wavelength statistical parameters reflecting the characteristics of the photoacoustic signals; performing parameter mapping on the multi-wavelength statistical parameters to obtain a parameter imaging graph reflecting the scattering characteristics and microstructure differences of the tissue, obtaining a parameter spectrum curve based on the parameter imaging graphs at different wavelengths, and extracting auxiliary features based on the parameter imaging graphs; performing visual analysis based on the parameter imaging graphs and the parameter spectrum curve, spatially positioning a lesion area, selecting a ROI and visually displaying the lesion area; and taking the multi-wavelength statistical parameters and the auxiliary features as inputs of a tumor benignity and malignancy evaluation model to output a tumor classification result. Compared with the prior art, the application has the advantages of being capable of realizing rapid and accurate intraoperative evaluation.

This invention discloses a method, device, electronic equipment, and product for monitoring the implementation of land spatial planning, relating to the field of image classification technology. The method includes acquiring aerial images of the target area of ​​the approved plan; extracting SIFT features from the aerial images and local color features of the neighborhood of each feature point in the SIFT features; fusing the SIFT features with the local color features of the neighborhood of each feature point in the SIFT features to obtain a first fused feature; extracting global color features from the aerial images; fusing the first fused feature with the global color features to obtain a second fused feature; and using the second fused feature as input to a pre-trained classification model to obtain the land use type of the target area, so as to monitor the implementation of land spatial planning in the target area based on the land use type. This invention can automatically and dynamically monitor the implementation of land spatial planning in real time, saving human resources.

The application discloses a medical image tumor segmentation model based on a TransUNet framework and a construction method and a segmentation method thereof, the construction method comprising constructing a segmentation model based on the TransUNet, wherein an encoder of the segmentation model comprises CNN modules and a self-defined VSS module connected in sequence, the output ends of each convolution block of the CNN modules are input into a decoder of the segmentation model through a jump connection layer, the self-defined VSS module comprises a plurality of novel conversion layers stacked in series based on a Mamba module and a focus linear attention module, the self-defined VSS module performs multi-level feature interaction and global modeling on first encoding features output by the CNN module to obtain second encoding features; and the decoder performs feature fusion and up-sampling on the second encoding features and the output of the jump connection layer to obtain a segmentation image for a sample image. The application can significantly improve the segmentation robustness and precision of breast ultrasound images with low contrast, high noise and fuzzy boundaries.

This application provides an IQ imbalance calibration method, apparatus, signal transmitter, and zero-IF transceiver. The method includes: acquiring a reference baseband signal and a radio frequency (RF) signal output by the IQ modulation channel based on the reference baseband signal, and converting the RF signal into a modulation baseband signal; reconstructing the modulation baseband signal to generate a baseband feedback signal characterizing the distortion of the IQ modulation channel; obtaining pre-distortion parameters for compensating for IQ imbalance based on the reference baseband signal and the baseband feedback signal; performing pre-distortion processing on the reference baseband signal using the pre-distortion parameters to generate a baseband pre-distortion signal; and performing imbalance calibration on the IQ modulation channel based on the baseband pre-distortion signal. Because the IQ modulation channel is calibrated, the image rejection ratio and error vector amplitude performance of the output signal can be improved, thus increasing the calibration accuracy of the IQ modulation channel.

The invention provides an agent generation method and device, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical field of large models, agents and the like. The method comprises the steps that in response to a received agent generation instruction, processing path information used for agent generation is determined, and the agent generation instruction indicates a target webpage; and executing the following operations based on the processing path information to generate a target agent: calling a webpage rendering engine to load a target webpage through the data acquisition node, and obtaining rendered dynamic page data to obtain material data; processing the material data by using a large model through structured extraction nodes so as to extract multiple pieces of field information meeting the structured requirements of the agent generation interface; and through the agent generation node, calling an agent generation interface based on the multiple pieces of field information to generate a target agent.