5 results about "Ulcer disease" patented technology

The application discloses a kind of auxiliary diabetic foot ulcer grading wound image analysis method, it is related to medical image analysis technical field, can solve how to based on single frame optical image automatically, accurately distinguish the problem of solid-state necrotic tissue and liquid pus exudate with visual feature highly similar in diabetic foot ulcer wound, including: determining ulcer lesion area in input image, and determine lesion equivalent diameter;Determine the first point set that all tissue sample points to be classified in ulcer lesion area constitute, and the second point set that all potential convergence positions in ulcer lesion area constitute;According to lesion equivalent diameter, first point set and second point set, construct total cost matrix;Total cost matrix is solved using preset matching algorithm, each point in first point set is classified as liquid attribute point or solid attribute point;According to the number of being classified as liquid attribute point and first quantity determine liquid component proportion, compare with preset threshold value, output diabetic foot ulcer grading result.

The invention discloses an asiatic acid saponin compound and medical application thereof. The asiatic acid saponin compound comprises a compound with a structural formula as shown in a formula (I), and pharmaceutically acceptable salt or ester or solvate of the compound. The compound shown in the formula (I) has anti-inflammatory and anti-ulcer activity, so that the compound can be used for preparing medicines for preventing or treating inflammatory diseases or ulcerative diseases.

Recombinant blood group antigen-binding adhesin (BabA) can be used in a composition to raise humoral immune response i.e. antibodies, that target conserved structural epitopes in the fucosylated blood group antigen Lewis b (Leb) antigen binding domain in the blood group antigen-binding adhesin (BabA). Such broadly Leb-blocking antibodies can reduce the gastric mucosal attachment of Helicobacter pylori (H. pylori) to human gastric mucosa. This approach can be used for preventing and / or alleviating gastric disease in a subject diagnosed with H. pylori infection, said gastric disease chosen from gastroesophageal reflux disease, chronic active gastritis, peptic ulcer diseases, gastric ulcer disease, gastric cancer gastritis and gastric cancer, in particular gastric cancer. It also becomes possible to identify subjects that carry BabA positive H. pylori infections and subjects that are at risk of developing severe gastric disease, such as peptic ulcer diseases, gastric ulcer disease, gastritis with metaplasia and gastric cancer.

The application relates to the medical imaging technical field, in particular to a biopsy range positioning method and device for a gastric ulcer image, obtaining a gastric ulcer image of a patient to be detected, preprocessing the gastric ulcer image to obtain a gastric ulcer optimization image of the gastric ulcer image; inputting the gastric ulcer optimization image into an ulcer lesion detection model and a background target detection model respectively, outputting a lesion segmentation image of the gastric ulcer optimization image and a background target; fusing the lesion segmentation image and the background target, and outputting an ulcer biopsy range positioning and a biopsy sequence of the patient to be detected. The application realizes lesion segmentation of a gastric ulcer, thereby obtaining a gastric ulcer biopsy range, assisting a doctor in positioning biopsy, constructing a coordinate system by taking the center points of a large bend and a mirror body and the center point of a gastric ulcer as the coordinate system, combining logic, judging the biopsy sequence, and efficiently improving the gastroscopy detection efficiency.

This embodiment provides a method and system for assessing the risk of diabetic foot ulcers based on visual nerves. The method includes: acquiring phosphorescent images of the patient's foot ulcer, images of the ulcer wound, and sensor feature data; processing the phosphorescent images based on a phosphorescent sub-network model to obtain an oxygen-phosphorescence response feature vector; processing the ulcer wound images based on a wound sub-network model to obtain an ulcer pathological feature vector; extracting physiological parameters from the sensor feature data based on a sensor sub-network model to obtain a physiological feature vector; and weightedly concatenating and fusing the oxygen-phosphorescence response feature vector, ulcer pathological feature vector, and physiological feature vector based on a fusion sub-network model to obtain a fused feature vector. The fused feature vector is then used for recognition operations to obtain a recognition result, the value of which indicates the patient's foot ulcer risk assessment level. This application achieves effective and accurate assessment of the condition of foot ulcer wounds in diabetic patients.