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
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[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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