Helicobacter pylori auxiliary detection system and detection device

A technology for Helicobacter pylori and auxiliary detection, which is applied in image data processing, biological neural network models, instruments, etc., can solve problems such as large limitations in the detection of Helicobacter pylori, achieve high reliability, high safety, and overcome limitations. Effect

Active Publication Date: 2022-01-28
广州思德医疗科技有限公司
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Problems solved by technology

[0003] The invention provides an auxiliary detection system and detection device for Helicobacter pylori, which is used to solve the defect of large detection limitations of Helicobacter pylori in the prior art, realize accurate detection of Helicobacter pylori, and have high safety

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[0029] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] Combine below figure 1 The Helicobacter pylori auxiliary detection system of the present invention is described. figure 1 It is a schematic diagram of the structure of the Helicobacter pylori auxiliary detection system of the present invention, such as figure 1 As shown, the detection system includes: a data receiving unit 101, an image feature extraction model 102, an area recogniti...

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Abstract

The invention provides a helicobacter pylori auxiliary detection system and detection device. The system comprises a data receiving unit, an image feature extraction model, a region recognition model, a data processing unit and a helicobacter pylori recognition model. The data receiving unit is used for receiving information data and a plurality of gastroscope images of a to-be-tested person; the image feature extraction model is used for performing feature extraction on each gastroscope image to obtain expression features of each gastroscope image; the region recognition model is used for performing intragastric region recognition on each gastroscope image to obtain an intragastric region corresponding to each gastroscope image; the data processing unit is used for calculating a first feature value of the to-be-tested person according to the expression features of each gastroscope image and the corresponding intragastric region, and is also used for calculating a second feature value of the to-be-tested person according to the information data; and the helicobacter pylori recognition model is used for recognizing helicobacter pylori according to the first feature value and the second feature value of the to-be-tested person. The system and the device can accurately detect helicobacter pylori and are high in safety.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to an auxiliary detection system and detection device for Helicobacter pylori. Background technique [0002] Helicobacter pylori is a spiral-shaped, micro-anaerobic bacteria that requires very harsh growth conditions. It is the only microbial species known to survive in the human stomach. Helicobacter pylori is a primary gastric cancer carcinogen recognized by the World Health Organization, so it is particularly necessary to detect Helicobacter pylori. At present, the detection of Helicobacter pylori mainly includes non-invasive detection and invasive detection, non-invasive detection such as carbon 13 or carbon 14 breath test, fecal H. Tests such as a gastric biopsy (rapid urease test). However, the reliability of non-invasive detection results is poor, and an additional gastric biopsy is required, and gastric biopsy has a greater risk. Therefore, both non-invasive detec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06N3/08G06V10/46G06V10/56G06V10/20
CPCG06T7/0012G06N3/084G06T2207/10056G06T2207/10068G06T2207/30092G06T2207/20081G06T2207/20084G06N3/044
Inventor 邱琛招展鹏王羽嗣马清飞
Owner 广州思德医疗科技有限公司
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