Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

5 results about "Liver lesion" patented technology

A method for analyzing fatty liver lesion images based on color texture features

The present application relates to the technical field of image data processing, and more particularly, to a fat liver lesion image analysis method based on color texture features, comprising: extracting a rat liver region through image segmentation, converting to a CIELAB color space to separate luminance, red-green chroma and yellow-blue chroma components; calculating local texture difference features based on a pixel space neighborhood, coupling luminance values to construct pixel-level effectiveness weights to suppress specular reflection; using pixel-level effectiveness weights to update K-Means clustering centers, distinguishing between steatosis regions and non-lesion regions, and counting pixel points to realize analysis of fat liver lesion images. The present application accurately suppresses optical noise interference, improves clustering accuracy, and improves fat liver lesion analysis accuracy, providing reliable technical support for drug efficacy evaluation and pathological mechanism research.
Owner:KCI BIOTECH(SUZHOU) INC

Preparation method and application of carboxymethylated mulberry leaf polysaccharide with improved antioxidant activity

The application discloses a preparation method of carboxymethyl mulberry leaf polysaccharide with improved antioxidant activity, which comprises the following steps: (1) crude mulberry leaf polysaccharide is dissolved in an alkali solution, acid is added under stirring, and then the reaction is continuously stirred; (2) the reaction is terminated by adjusting to neutral with acid, and the reaction liquid is dialyzed in a dialysis bag; (3) after centrifugation, alcohol precipitation is carried out in an ethanol system, and freeze-drying is carried out, so that the carboxymethyl mulberry leaf polysaccharide with improved antioxidant activity is prepared. The carboxymethyl mulberry leaf polysaccharide product prepared by the application has excellent solubility and increased antioxidant activity. After the mouse liver injury symptoms are obviously improved, the decrease of the liver index is relieved, and the liver lesion is reduced. Therefore, the carboxymethyl mulberry leaf polysaccharide can effectively prevent liver injury and oxidative stress caused by aflatoxin B1, has a wide application prospect in the antioxidant preparation research of the mulberry leaf polysaccharide, and provides a train of thought for subsequent research and development and optimization and innovation of the polysaccharide.
Owner:GUANGXI UNIV

Liver ultrasound contrast lesion classification method with multi-modal information and perfusion kinetics

PendingCN122265708AMedical data miningImage analysisHeat mapLiver lesion
The application discloses a liver ultrasound contrast lesion classification method based on multi-modal information and perfusion kinetics, and the method comprises the following steps: acquiring video image data with perfusion contrast images and standard gray-scale images and preprocessing, and structuring a clinical data vector of a patient; identifying a liver lesion ROI region and obtaining a TIC curve for analysis to obtain blood flow kinetics key phase characteristics; based on a double-head input time sequence classification model of the gray-scale images and the contrast images, first spatial characteristics and second spatial characteristics are extracted and fused to obtain visual fusion characteristics; a clinical data vector is projected to an embedding space aligned with image characteristics to obtain a clinical feature vector; finally, an explainability heat map is obtained, blood flow kinetics key phase characteristics are marked on the TIC curve, the most important clinical indicators in classification decision are listed according to category probability, and the summary is used as an auxiliary diagnosis result.
Owner:ZHONGSHAN HOSPITAL FUDAN UNIV

Use of po f ut1 gene function inhibitor in preparation of drug for treating cholestatic liver disease

PendingCN122251595AOrganic active ingredientsDigestive systemLiver necrosisTreatment targets
The application belongs to the technical field of biological medicine, and particularly relates to POFUT1 The application discloses an application of a gene function inhibitor in preparation of a drug for treating cholestatic liver disease. POFUT1 It is found for the first time that inhibition of the function of the gene can significantly reduce the degree of liver lesion of cholestatic liver disease. POFUT1 The deletion of the gene can significantly reduce serum liver enzyme, bile acid and bilirubin levels, reduce liver inflammatory cell infiltration and collagen deposition. Further verification by AAV8-mediated RNA interference technology shows that targeted silencing of the gene in liver cells can effectively alleviate liver injury and liver fibrosis. POFUT1 The application provides a novel treatment target and strategy for cholestatic liver disease, and has a wide clinical application prospect.
Owner:XI AN JIAOTONG UNIV

A 3D liver lesion detection method and device

ActiveCN113658105BImage enhancementImage analysisRadiologyLesion detection
The application provides a 3D liver lesion detection method and device. The method comprises the following steps: acquiring multi-phase CT images to be detected, constructing 3D data including upper and lower layers of each slice layer to be detected as the center; inputting the 3D data into a detection model, extracting 3D context features of the images, and detecting 2D lesions obtained by center cutting; combining 2D lesions of continuous layer slices belonging to the same lesion into a 3D lesion; inputting the 3D lesion cut in the local image of multiple phases output by the detection model into a false positive identification model to obtain a detection result of the 3D lesion. The application can extract 3D context features by constructing 3D data, can fully utilize lesion information of each phase for lesion detection, and thus improves the lesion detection accuracy; and the false positive identification model is set to filter false positives of the 3D lesion, which can further improve the lesion detection accuracy.
Owner:HANGZHOU SHENRUI BOLIAN TECH CO LTD +2