Automatic monitoring method and system for gastrointestinal capsule endoscopy retention
A technology of capsule endoscopy and automatic monitoring, which is applied in the field of image processing, can solve problems such as detection of interference content in the digestive tract, retention monitoring of capsule endoscopy, etc., and achieve the effect of convenient monitoring and improved accuracy
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Embodiment 1
[0035] Such as figure 1 As shown, a method for automatic monitoring of digestive tract capsule endoscope retention is provided, including the following:
[0036] Construct the interference image detection network model, obtain interference image data, conduct network training on the interference image detection network model and remove interference images;
[0037] Construct an organ detection network model, obtain organ image data after removing interference images, perform network training on the organ detection network model and output organ category judgment information;
[0038] The position and state of the capsule endoscope are judged by combining the organ type judgment information and the time information of swallowing the capsule endoscope.
[0039] The principle of this method is as follows: first construct the interference image detection network model, obtain the interference image data to conduct network training on the interference image detection network model...
Embodiment 2
[0046] Such as figure 2 As shown, a kind of digestive tract capsule endoscope retention automatic monitoring system is provided, and the system includes:
[0047] Image data acquisition module: acquire interference image data and organ image data after removing the interference image;
[0048]Model training module: including a disturbance image detection network model training module and an organ detection network model training module; the disturbance image detection network model training module is used to construct a disturbance image detection network model, obtain disturbance image data and perform network training on the disturbance image detection network model Train and remove the interference image, and output the organ image after removing the interference 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 interfer...
Embodiment 3
[0055] Provide a preferred embodiment on the basis of embodiment 1,2, as Figure 3-5 As shown, when acquiring data, the interference image data is obtained through the image data acquisition module. The types of interference image data include air bubbles in the digestive tract, intestinal juice and food residue, etc. The interference image data includes the interference image data training set and the interference image data verification set.
[0056] Further, the interference image data training set includes training pictures with clear digestive tract mucosa, training picture marks with clear digestive tract mucosa, interference training pictures, and interference training picture marks, and the interference image data verification set includes verification pictures with clear digestive tract mucosa , clear verification picture mark of digestive tract mucosa, interference verification picture, interference verification picture mark.
[0057] Further, construct the interfere...
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