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Digestive system gallstone recognition method and positioning method

A gallbladder stone and digestive system technology, applied in neural learning methods, character and pattern recognition, image data processing, etc., can solve the problems of inaccurate recognition results, inability to judge the type of stones, reduce the detection rate of stones, etc., and achieve the characteristics of speeding up Extraction speed, shortened recognition time, effect of reduced recognition time

Inactive Publication Date: 2020-06-16
刘肖
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method needs to identify the gallbladder first, and then identify stones based on the obtained gallbladder image. Not only is the efficiency low, but it is also easy to treat the stones located on the edge of the gallbladder as other tissues when identifying the gallbladder, thereby reducing the detection rate of stones. , so that the recognition results are not accurate enough; in addition, this method only recognizes the shape information such as the size and position of the stone, and cannot judge the type of the stone, and the corresponding treatment methods for different types of stones are quite different; When positioning, only the distance between the gallbladder and the stone can be used to judge whether the stone is inside or on the edge of the gallbladder. The positioning is not accurate enough, so it is difficult to effectively assist the doctor in accurate treatment

Method used

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  • Digestive system gallstone recognition method and positioning method
  • Digestive system gallstone recognition method and positioning method
  • Digestive system gallstone recognition method and positioning method

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Experimental program
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Embodiment 1

[0039] see figure 1 , the present embodiment provides a method for identifying gallbladder stones in the digestive system, comprising the following steps:

[0040] S1. Obtain the CT scan image to be identified:

[0041] The CT scan image is a CT scan image of the patient's gallbladder obtained by a hospital, and the CT scan image includes the gallbladder.

[0042] S2. Preprocessing the CT scan image to be identified, the preprocessing includes filtering and denoising, image enhancement and image scaling, specifically including the following steps:

[0043] S21. Using a two-dimensional Gaussian function to filter the CT scan image to be identified, so as to smooth the image and remove noise;

[0044] S22. Using a grayscale transformation enhancement method to perform image enhancement on the image after filtering and denoising, so as to improve the image contrast and enhance the visual effect of the image, so as to facilitate subsequent image recognition;

[0045] S23. Perform...

Embodiment 2

[0065] see figure 2 , the present embodiment provides a method for locating gallbladder stones in the digestive system, comprising the following steps:

[0066] (1) Acquire a sequence of CT scan images to be identified, the sequence of CT scan images is formed by sequentially arranging multiple CT scan images.

[0067] (2) Identify the gallbladder and gallbladder stones in each CT scan image in the CT scan image sequence according to the method for identifying gallbladder stones in the digestive system provided in Example 1 to obtain a gallbladder image sequence and a gallbladder image sequence.

[0068] (3) According to the gallbladder image sequence and the gallbladder stone image sequence, a ray projection algorithm is used to carry out three-dimensional modeling of the gallbladder to obtain a gallbladder three-dimensional model including the gallbladder and stones located in the gallbladder; the specific modeling steps of the gallbladder three-dimensional model as follow...

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Abstract

The invention discloses a digestive system gallstone recognition method and a digestive system gallstone positioning method. The method comprises the following steps: inputting a preprocessed CT scanning image into a trained convolutional neural network; and after public feature extraction and independent feature extraction, outputting the identified gallstone image and gallstone image, and performing feature extraction on the gallstone image to obtain morphological information and type information of the gallstone, so that efficient and accurate identification of the gallstone of the digestive system can be realized. On the basis of accurately identifying the gallstone of the digestive system, the three-dimensional coordinates of the gallstone can be accurately calculated by establishingthe three-dimensional model of the gallstone, so that the gallstone is accurately positioned. By means of the mode, the gallbladder and gallstone can be recognized at the same time, the recognition time is effectively shortened, and the recognition efficiency is improved; and the form, type and accurate position information of stones can be provided for doctors, so that the doctors are effectivelyassisted in diagnosis and treatment, and the health of patients is guaranteed.

Description

technical field [0001] The invention relates to the technical field of calculus identification and positioning, in particular to a method for identifying gallbladder calculi in the digestive system and a positioning method. Background technique [0002] Gastrolithiasis is a disease caused by gallstones in the gallbladder, and is a common and frequently-occurring disease in surgical clinics. With the increase of population age, the acceleration of people's life rhythm and the improvement of living standards, the incidence of gallbladder stones in the digestive system is on the rise. If timely and effective treatment is not obtained, gallbladder stones will not only cause severe pain to patients when they attack, In severe cases, it can also induce acute pancreatitis, gallbladder cancer and other diseases, threatening the life and health of patients. Therefore, in order to protect the health of patients, timely and effective treatment of gallbladder stones in the digestive sy...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06K9/40G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10081G06T2207/20024G06T2207/20081G06T2207/20084G06T2207/30004G06V10/30G06N3/045G06F18/241G06T5/70
Inventor 刘肖
Owner 刘肖
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