Coloscope image evaluation method and system based on OfficientNet structure

A technology of image evaluation and colonoscopy, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of insufficient bowel preparation and reduce the burden

Pending Publication Date: 2022-03-01
FUZHOU UNIV
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Problems solved by technology

However, there are relevant domestic literature reports that the rate of insufficient intestinal preparation in outpatients is 12%-25%, and the rate of insufficient intestinal preparation in elderly patients is even higher, ranging from 17% to 32%.
It has also been reported abroad that the incidence of insufficient bowel preparation in patients undergoing colonoscopy is 20%-25%.

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  • Coloscope image evaluation method and system based on OfficientNet structure
  • Coloscope image evaluation method and system based on OfficientNet structure
  • Coloscope image evaluation method and system based on OfficientNet structure

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] Please refer to figure 1 , the present invention provides a colonoscope image evaluation system based on EfficientNet structure, comprising

[0029] The artificial interaction unit separates the colorectal sequence images into three subsequence images of the left colon, transverse colon, and right colon by manually identifying the images of the hepatic flexure and the splenic flexure, and eliminates the images that are obviously unqualified for imaging;

[0030] The data classification unit uses EfficientNet as the basic network, and the network model can be manually scaled according to the computing power configuration to obtain the optimal classification effect;

[0031] The evaluation unit is based on the BBPS intestinal evaluation, that is, the three subsequence images of the left colon, transverse colon, and right colon are scored separatel...

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Abstract

The invention relates to a colonoscope image evaluation method based on an OfficientNet structure, and the method comprises the following steps: S1, obtaining a colorectum sequence image, and preliminarily classifying the colorectum sequence image into three segments of sub-sequence images of a left half colon, a transverse colon and a right half colon; s2, preprocessing the sub-sequence image; step S3, according to the preprocessed sub-sequence images, based on a scalable OfficientNet network model, obtaining an optimal classification; and S4, based on a BBPS intestinal tract preparation evaluation standard, respectively scoring the three segments of sub-sequence images of the left half colon, the transverse colon and the right half colon, accumulating the score of the image with the worst intestinal tract cleanliness of each segment, and further evaluating whether the colonoscope image is qualified or not. According to the invention, automatic and accurate evaluation of intestinal preparation is effectively realized, and the burden of doctors can be greatly reduced.

Description

technical field [0001] The invention relates to the field of image pattern recognition and classification, in particular to a colonoscope image evaluation method and system based on an EfficientNet structure. Background technique [0002] Before the colonoscopy operation, the colorectal tract is cleaned of feces and digestive residues, and the cleaning process of emptying foreign objects in the intestine is called bowel preparation. Bowel preparation is an important prerequisite for a successful colonoscopy. At present, the method of stopping food in advance before colonoscopy combined with oral intestinal cleanser is usually used to clean the bowel. However, there are related domestic literature reports that the rate of insufficient intestinal preparation in outpatients is 12%-25%, and the rate of insufficient intestinal preparation in elderly patients is even higher, ranging from 17% to 32%. It has also been reported in foreign literature that the incidence of insufficie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/764G06V10/82G06K9/62G06N3/04
CPCG06T7/0012G06T2207/30028G06T2207/30168G06N3/048G06N3/045G06F18/241
Inventor 郑绍华林超男沈志强潘林黄立勤
Owner FUZHOU UNIV
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