Narrow-band imaging detection method in colonoscope operation based on image recognition

A technology of imaging detection and image recognition, applied in the field of detection, can solve the problems of high proportion of complications and high risk of colonoscopy operation, and achieve the effect of reducing mortality and the rate of missed diagnosis of polyps

Pending Publication Date: 2020-10-30
杨国珍
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Problems solved by technology

In particular, there has always been a problem of high risk of colonoscopy operation in the training of primary physicians in colonoscopy, and the proportion of complications in the operation of the training physicians is high

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  • Narrow-band imaging detection method in colonoscope operation based on image recognition
  • Narrow-band imaging detection method in colonoscope operation based on image recognition
  • Narrow-band imaging detection method in colonoscope operation based on image recognition

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Embodiment Construction

[0017] 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.

[0018] The invention proposes an image recognition-based detection method for narrow-band imaging in colonoscopic surgery. It includes two parts, one is to establish a real-time detection model of colonic polyps, and the other is to use the OpenCV processing method to judge whether the image uses narrow-band imaging technology.

[0019] Such as figure 1 As shown, the present invention is based on the narrow-band imaging detection method in the colonoscopy operation of image recognition, comprises the following implementation steps:

[0020] Step 101, building a deep learning framework. Install Python2.7, Cuda 8.0, Cudnn6.0.21, OpenCV3.4.0 under the Ubuntu system, and finally instal...

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Abstract

The invention discloses a narrow-band imaging detection method in a colonoscope operation based on image recognition. The method comprises the following steps: detecting a colonoscope video through abuilt colonoscope polyp detection and recognition model, and judging whether polyps exist or not; and if the polyps are detected, judging the relationship between an R channel average value of intestinal images and a threshold value by utilizing an OpenCV image processing technology, and giving a prompt of whether NBI observation needs to be carried out or not according to the relationship betweenthe R channel average value of the intestinal images and the threshold value. The method is used for detecting colonic polyps in real time; when polyps are found, whether an operator observes the polyps through the NBI technology or not is judged through the OpenCV image processing technology; and if not, a prompt is given to standardize the operation method of the operator, so the missed diagnosis rate of polyps is reduced to the maximum extent, and therefore, the death rate of patients is reduced.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to an image recognition-based narrow-band imaging detection method in colonoscopic surgery. Background technique [0002] Colorectal adenomatous polyps are recognized as precancerous lesions of colorectal cancer. Timely diagnosis and treatment of adenomatous polyps and follow-up after polypectomy are key measures for the prevention and treatment of colorectal cancer. Electronic colonoscopy is currently the most important method for the examination of intestinal lesions. Focusing on observation during the examination is beneficial to the diagnosis and treatment of intestinal lesions. Endoscopic examination is the gold standard for diagnosing intestinal lesions, especially colon polyps. Due to factors such as intestinal anatomy, operator level, polyp type, and endoscopic examination time, colonic polyps found through colonoscopy may be missed to a certain extent. According to fore...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B1/31A61B1/00A61B1/04
CPCA61B1/31A61B1/00009A61B1/00055A61B1/04A61B1/00G06T7/00A61B1/000094A61B1/000096
Inventor 王玉峰
Owner 杨国珍
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