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Detection method for judging whether colonoscopy is complete or not based on image recognition

A colonoscopy and image recognition technology, applied in the detection field, can solve problems such as incomplete internal intestinal inspection, missed disease detection, and uneven quality of colonoscopic surgery, so as to improve the quality of colonoscopy and solve the problem of incomplete inspection. Integrity and the effect of reducing the rate of missed diagnosis of lesions

Pending Publication Date: 2020-10-30
TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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Problems solved by technology

[0004] However, in the existing colonoscopic examination process, due to the different habits of each doctor, the different operating techniques will lead to uneven quality of colonoscopic surgery. check is not complete
[0005] During the colonoscopy operation, if the intestinal tract cannot be completely inspected, it will cause great risks and lead to missed detection of many diseases

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  • Detection method for judging whether colonoscopy is complete or not based on image recognition
  • Detection method for judging whether colonoscopy is complete or not based on image recognition

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0017] figure 1 Shown is the operation flow of the completeness detection model. Based on the completeness detection model, the present invention uses image recognition technology to judge whether the colonoscopy examination is complete.

[0018] The present invention is a detection method for judging whether a colonoscopy examination is complete based on image recognition, and its completeness detection model operates through the following steps: Step 1: Perform average gray value detection on the four corners of the colonoscopy image;

[0019] Step 2: Data collection. A total of 800 samples in the four corners of 200 screenshots of colonoscopy images were divided into two categorie...

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Abstract

The invention discloses a detection method for judging whether colonoscopy is complete or not based on image recognition. The method comprises the steps that in the whole enteroscopy process, a completeness detection model is used for conducting average gray value detection on four corners of each frame of image in enteroscopy video stream, and if the Boolean value output by a preset number or more of continuous frames of one corner is 0, a prompt that completeness detection is not conducted is output. According to the detection method for judging whether colonoscopy is complete or not based on image recognition, the problem that a doctor does not completely inspect the interior of the intestinal tract in the colonoscopy process can be solved, so the colonoscopy quality of an operator is improved, and the missed lesion diagnosis rate of colonoscopy is reduced.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a detection method for judging whether a colonoscopy examination is complete based on image recognition. Background technique [0002] The morbidity and mortality of rectal cancer in my country have shown an obvious upward trend in recent years. Early detection and early treatment are the main strategies to reduce the mortality of colorectal cancer. Colonoscopy is one of the most effective examination methods for detecting colorectal polyps and tumors, and it is also the main method for screening colorectal tumors. The use of colonoscopy to detect colonic polyps, due to the difference in the patient's bowel preparation, the operator's proficiency in colonoscopy, the shape and size of colonic polyps, and the insufficient time to withdraw the scope during the examination, may affect the colonoscopy. impact on the inspection results. As a precancerous lesion, the detection rate...

Claims

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Application Information

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IPC IPC(8): A61B1/04A61B1/31A61B1/00
CPCA61B1/31A61B1/04A61B1/00055A61B1/00057A61B1/00009
Inventor 王玉峰
Owner TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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