Lower digestive tract endoscope image recognition method and system

Abstract

The invention provides a lower digestive tract endoscope image recognition method and system. The method comprises the following steps of: acquiring a lower digestive tract part image, marking a to-be-identified category and an auxiliary category for identifying an interference image, and dividing into a training set and a test set, training and testing a lower digestive tract part recognition model A and a lower digestive tract part recognition model B by using the training set and the test set, in the endoscope entering operation process, if the lower digestive tract part recognition model Arecognizes that the type of the current lower digestive tract endoscope image is the cecum in the first-level category and the probability that the continuous N non-similar images are all the cecum exceeds a preset threshold value, starting endoscope retreating operation, N being a positive integer greater than or equal to 3, and in the retreating operation process, detecting the digestive tractendoscope image in real time based on the lower digestive tract part recognition model A and the lower digestive tract part recognition model B, excluding the image belonging to the auxiliary category, and outputting the first-level category and the second-level category to which the image belongs.

Description

technical field [0001] The disclosure belongs to the field of gastrointestinal endoscope image recognition, in particular to a lower gastrointestinal endoscope image recognition method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] In lower gastrointestinal endoscopy, it is often necessary to determine where a lesion is located in the colorectum. The inventors found that at present, most of the endoscopic examinations of the lower gastrointestinal tract are observed by human eyes, and the lesion site cannot be accurately judged. For example, multiple polyps in the lower gastrointestinal tract were found by visual observation, but it was not possible to accurately determine whether they were located in the ascending colon, transverse colon, descending colon, or sigmoid colon; [0004] In addition, some parts may be missed du...

AI Technical Summary

Problems solved by technology

The inventors found that at present, most of the endoscopic examinations of the lower gastrointestinal tract are observed by human eyes, and the lesion site cannot be accurately judged.

For example, multiple polyps in the lower gastrointestinal tract were found by visual observation, but it was not possible to accurately determine whether they were located in the ascending colon, transverse colon, descending colon, or sigmoid colon;

[0004] In addition, some parts may be missed during the lower gastrointestinal endoscopy, for example, the image quality of a certain part is poor due to the slipping of the mirror body or poor filling of the intestinal cavity, which affects the quality of the lower gastrointestinal endoscopy, resulting in Possibility of missed diagnosis

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