Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image auxiliary arrangement method and system for digestive system department

A gastroenterology, image technology, applied in image data processing, image enhancement, image analysis and other directions, can solve the problem of long time, achieve the effect of convenient viewing, improve work efficiency and accuracy, and intelligent recognition

Inactive Publication Date: 2022-01-11
THE SECOND PEOPLES HOSPITAL OF NANTONG
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this application is to provide a method and system for image-assisted collation of gastroenterology to solve the technical problem of manually identifying and sorting endoscopic images with the naked eye in the prior art, which takes a long time

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
  • Image auxiliary arrangement method and system for digestive system department
  • Image auxiliary arrangement method and system for digestive system department
  • Image auxiliary arrangement method and system for digestive system department

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Please refer to the attached figure 1 , the embodiment of the present application provides an image-assisted finishing method for gastroenterology, wherein the method is applied to an image-assisted finishing system for gastroenterology, and the method specifically includes the following steps:

[0033] Step S100: Obtain a first image to be marked, wherein the first image to be marked is an endoscopic image to be marked;

[0034] Specifically, the image-assisted finishing method of gastroenterology is applied to the image-assisted finishing system of gastroenterology, which can identify, process and distinguish endoscopic images through computer intelligence, so as to achieve intelligent recognition, Organize endoscopic images, so that doctors can quickly view and analyze the required endoscopic images, and finally improve the technical effect of gastroenterology diagnosis and treatment work efficiency and accuracy. Gastroenterology is a third-level clinical discipline...

Embodiment 2

[0082] Based on the same inventive idea as the method for image-assisted arrangement of gastroenterology in the previous embodiment, the present invention also provides an image-assisted arrangement system of gastroenterology, please refer to the attached Figure 5 , the system includes:

[0083] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain a first image to be marked, wherein the first image to be marked is an endoscopic image to be marked;

[0084] The second obtaining unit 12, the second obtaining unit 12 is configured to perform image duplication on the first image to be marked to obtain a first duplicated image, and to perform decolorization processing on the first duplicated image to obtain a first decolorized image image;

[0085] A third obtaining unit 13, the third obtaining unit 13 is configured to perform abnormal position identification on the first decolorized image, and obtain a first position identification result;

[0086] A f...

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 an image auxiliary arrangement method and system for the digestive system department. The method comprises the following steps: obtaining a first to-be-identified image; performing image copying and decoloring processing to obtain a first decolored image; identifying the abnormal position of the first decolored image to obtain a first position identification result; segmenting the first to-be-identified image through a first pixel point combination scheme to obtain a first segmented image; obtaining a single feature matching result; performing feature aggregation on the first to-be-identified image according to the first position identification result and a feature saturation change set value to obtain a first feature aggregation result; obtaining a first feature matching result, and obtaining a first recognition result according to integration of the first feature matching result and the single feature matching result; and distinguishing and identifying the first to-be-identified image according to the first recognition result. The technical problem that in the prior art, naked eye recognition and classification arrangement are carried out on endoscopic images manually, and time is consumed is solved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and in particular to a method and system for assisting image finishing in gastroenterology. Background technique [0002] Gastroenterology is a third-level clinical discipline that mainly studies diseases of the esophagus, stomach, small intestine, large intestine, liver, gallbladder, and pancreas. Gastroenterology has a wide variety of diseases, a wide range of medical knowledge, and complex and delicate operations. With the development of modern medical technology, endoscopy, as an extension of the doctor's eyes and hands, has reached the state of "pervasive". Through endoscopy, a specimen can be obtained. And further pathological examination, so that a variety of digestive diseases can be diagnosed in a timely manner; in addition, through regular endoscopic examinations, the patient's condition changes can be observed, and corresponding treatment plans can be made in advance ...

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 Applications(China)
IPC IPC(8): G16H30/20G06V10/75G06V10/40G06V10/56G06T7/00G06T7/11G06T7/136
CPCG16H30/20G06T7/0012G06T7/11G06T7/136G06T2207/10068G06T2207/20081G06T2207/30004G06F18/22
Inventor 成昕晔张辉张妍
Owner THE SECOND PEOPLES HOSPITAL OF NANTONG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com