Method for automatic scoring of bowel preparation after colonoscopy

A technology for bowel preparation and colonoscopy, applied in the field of image recognition, which can solve problems such as the inability to provide support for research, the lack of scientific means and methods for tissue or foreign body identification and recording, and the effect of bowel preparation.

Active Publication Date: 2021-04-02
河南省萱闱数字医疗科技有限公司
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional recognition of digestive tract tissues and foreign bodies is that doctors find foreign bodies or diseased tissues in the digestive tract through naked eye observation. Accurately discovering and describing digestive tract tissues and foreign bodies requires rich experience of doctors, and doctors record these contents through recall. If the number of checks Too many, easy to record confusion, in addition, there are no scientific means and methods for the identification and recording of tissues or foreign bodies, which cannot provide support for follow-up research
[0003] Moreover, the effect of intestinal observation under digestive endoscopy depends on the intestinal preparation made by the patient for the examination. Different intestinal preparation drugs, patient signs, excretion and preparation actions after taking drugs will all affect the effect of intestinal preparation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for automatic scoring of bowel preparation after colonoscopy
  • Method for automatic scoring of bowel preparation after colonoscopy
  • Method for automatic scoring of bowel preparation after colonoscopy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the present invention. Apparently, the described embodiment examples are only some implementation examples of the present invention, not all implementation examples. Based on the implementation examples of the present invention, all other implementation examples obtained by persons of ordinary skill in the art without making creative work , all belong to the protection scope of the present invention.

[0058] like figure 1 As shown, the method for automatically scoring bowel preparation after colonoscopy includes the following steps:

[0059] Step 1: Grab the surgical video feature pictures from the video in batches,

[0060] a): Video reading and color channel format conversion: read the video of the gastrointestinal endoscopy diagnosis and treatment process on the storage device, and convert the color c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for automatically scoring intestinal preparations after colonoscopy, which can acquire learning data sets from videos in batches, train the data sets through a deep neural network model, identify intestinal foreign bodies, and record intestinal preparations. The intestinal preparation was scored by the ASTP scoring method and the EAREI scoring rules, and the quantitative scoring standard of intestinal preparation was defined.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method for automatically scoring intestinal preparation after colonoscopy. Background technique [0002] The recognition of digestive tract tissues and foreign bodies under endoscopy is the basis of visual aided diagnosis of digestive endoscopy. Only by identifying the tissues and foreign bodies can the problems of these tissues and foreign bodies be analyzed and prompted. The traditional recognition of digestive tract tissues and foreign bodies is that doctors find foreign bodies or diseased tissues in the digestive tract through naked eye observation. Accurately discovering and describing digestive tract tissues and foreign bodies requires rich experience of doctors, and doctors record these contents through recall. If the number of checks If there are too many, it is easy to record confusion. In addition, there are no scientific means and methods for the identifica...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0012G06T2207/30028G06V10/44G06V10/56G06V2201/03G06F18/214
Inventor 曾凡邰海军段惠峰黄锦柯钦瑜黄勇
Owner 河南省萱闱数字医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products