Unlock instant, AI-driven research and patent intelligence for your innovation.

Method and system for automatic monitoring of retention of digestive tract capsule endoscope

A capsule endoscope and automatic monitoring technology, applied in the field of image processing, can solve problems such as detection of digestive tract interference content and capsule endoscope retention monitoring without taking into account, and achieve the effect of convenient monitoring and improved accuracy

Active Publication Date: 2022-07-12
GUIZHOU UNIV OF ENG SCI
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention mainly provides an automatic monitoring method and system for the retention of digestive tract capsule endoscope in view of the prior art, which can solve the problem that the existing technology does not take into account the content detection of digestive tract interference in the actual clinical process and the retention monitoring of the capsule endoscope. The problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for automatic monitoring of retention of digestive tract capsule endoscope
  • Method and system for automatic monitoring of retention of digestive tract capsule endoscope
  • Method and system for automatic monitoring of retention of digestive tract capsule endoscope

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] like figure 1 As shown, an automatic monitoring method for gastrointestinal capsule endoscopy retention is provided, including the following contents:

[0036] Build an interference image detection network model, obtain interference image data, perform network training on the interference image detection network model, and remove the interference images;

[0037] Build an organ detection network model, obtain the organ image data after removing the interference images, train the organ detection network model and output the organ category judgment information;

[0038] The position and state of the capsule endoscope are determined by combining the organ type determination information and the time information of swallowing the capsule endoscope.

[0039] The principle of the method is as follows: firstly, a network model for interference image detection is constructed, and the interference image data is obtained to perform network training on the interference image detec...

Embodiment 2

[0046] like figure 2 As shown, an automatic monitoring system for gastrointestinal capsule endoscopy retention is provided, and the system includes:

[0047] Image data acquisition module: acquires the interference image data and the organ image data after removing the interference image;

[0048]Model training module: including an interference image detection network model training module and an organ detection network model training module; the interference image detection network model training module is used to construct an interference image detection network model, obtain interference image data, and perform network operation on the interference image detection network model. Train and remove interference images, and output the organ images after interference removal through the interference content detection module.

[0049] The organ detection network model training module is used to construct an organ detection network model, obtain organ image data after removing i...

Embodiment 3

[0055] On the basis of Embodiments 1 and 2, a preferred embodiment is provided, such as Figure 3-5 As shown, when acquiring data, the interference image data is obtained through the image data acquisition module. The types of the interference image data include air bubbles in the digestive tract, intestinal fluid and food residues, etc. The interference image data includes the interference image data training set and the interference image data validation set.

[0056] Further, the interference image data training set includes clear training pictures of digestive tract mucosa, clear training picture labels of digestive tract mucosa, interference training pictures, and interference training picture labels, and the interference image data verification set includes clear verification pictures of digestive tract mucosa. , Clear verification picture mark of digestive tract mucosa, interference verification picture, interference verification picture mark.

[0057] Further, a networ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an automatic monitoring method and system for the retention of digestive tract capsule endoscope. The method includes: constructing an interference image detection network model, acquiring interference image data, performing network training on the interference image detection network model, and removing the interference images; constructing an organ Detect the network model, obtain the organ image data after removing the interference image, perform network training on the organ detection network model and output the organ category judgment information; The position and status of the speculum. The system adjusts the structure of the basic convolutional neural network, performs organ detection network model detection after removing the interference image, and obtains more accurate organ classification. The position and state of the capsule endoscope can be judged to facilitate the medical staff to monitor the retention of the capsule endoscope.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an automatic monitoring method and system for the retention of a capsule endoscope in the digestive tract. Background technique [0002] Capsule endoscopy is a camera and disease detection device for examining the human digestive tract. When the patient swallows the device, the capsule endoscope will pass through the entire digestive tract of the human body and take a large number of images. The doctor can judge the disease status of the human digestive tract by observing the captured images. The capsule endoscope will pass through the esophagus, stomach, small intestine (including the duodenum), and large intestine until it is excreted. The data recorder carried by the patient will always detect the signals from the capsule endoscope and record the image data. In the actual clinical examination, due to the differences in the digestive tract structure of some patients, the capsul...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/00G06N3/04G06K9/62A61B1/04A61B1/00G06V10/774G06V10/82
CPCG06T7/0012G06T5/002A61B1/00009A61B1/00057A61B1/041G06T2207/20081G06T2207/20084G06T2207/10068G06T2207/30028G06N3/045G06F18/214
Inventor 陈洪瀚
Owner GUIZHOU UNIV OF ENG SCI