Gastroenterology model construction method and diagnosis system

A gastroenterology and diagnosis system technology, applied in the field of image recognition, can solve problems such as the difficulty and accuracy of manual identification, the difficulty of model building, and a large number of training sets, so as to improve the recognition speed and accuracy, reduce the number of feature points, The effect of feature point reduction

Inactive Publication Date: 2020-06-26
刘四花
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  • Application Information

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Problems solved by technology

Due to the wide variety of lesions in gastroscopy images, and the possibility of including multiple lesions at the same time, it brings great difficulties to the identification, and the difficu

Method used

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  • Gastroenterology model construction method and diagnosis system
  • Gastroenterology model construction method and diagnosis system
  • Gastroenterology model construction method and diagnosis system

Examples

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Embodiment 1

[0043] see figure 1 As shown, a gastrointestinal disease diagnosis system includes an image acquisition unit, an image labeling unit, an image database construction unit, an image recognition unit and a data output unit; the image recognition unit includes a lesion type recognition model.

[0044] The image acquisition unit is used to acquire gastroscope images, and the associated gastroscope images include image sets that have been correctly diagnosed and pending gastroscope images for building an image database.

[0045] The image labeling unit is used to label the gastroscope image, and ensure that the marked image label is consistent with the real result of the image, and obtain an image set comprising the gastroscope image and the corresponding image label;

[0046] The image label includes the part to which the image belongs, whether the image contains a lesion, and the lesion type. Gastric gastroscopy images usually include gastroscopic images of three parts of gastric f...

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Abstract

The invention provides a gastrointestinal disease model construction method and a diagnosis system. The diagnosis system comprises an image acquisition unit, an image labeling unit, an image databaseconstruction unit, an image recognition unit and a data output unit, wherein the image database construction unit comprises a normal image feature library and a focus image feature library, and the image recognition unit comprises a focus type recognition model. Firstly, a normal image feature library of a normal gastroscope image and a plurality of lesion image feature libraries of a lesion gastroscope image are constructed; a focus type identification model is used; color feature and texture feature fusion is carried out on a gastroscope image to be detected, matching and recognition are carried out on the gastroscope image to be detected, a normal image feature library and a focus image feature library in sequence, whether the gastroscope image to be detected contains focuses or not andfocus types are output, and therefore the focuses with various stomach types can be recognized rapidly and accurately.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and relates to a method for constructing a gastrointestinal disease model and a diagnosis system. Background technique [0002] Gastroenterology is a common disease of the digestive system, and its incidence rate is increasing year by year, seriously endangering human physical and mental health. Clinically common gastric diseases include acute gastritis, chronic gastritis, gastric ulcer, duodenal ulcer, gastroduodenal ulcer, gastric polyps, gastric stones, benign and malignant tumors of the stomach, etc. Common types of gastric lesions include gastric mucosal hyperemia, edema, hemorrhage, erosion, ulcer, tumor, stone, polyp, etc. Most gastric lesions can be identified by gastroscopy. However, at present, the identification and diagnosis of gastroscopy images mostly rely on clinicians' own experience to judge suspicious lesion areas, capture the images and save them in the endoscopy rep...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H30/20G06T7/00G06T7/73G06K9/46G06F16/583
CPCG16H50/20G16H30/20G06T7/0012G06T7/73G06F16/583G06F16/5838G06F16/5862G06T2207/20081G06T2207/30028G06T2207/10068G06V10/50G06V10/44G06V10/56
Inventor 刘四花
Owner 刘四花
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