Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Endoscope image determining system and method thereof

A judgment system and imaging technology, applied in image enhancement, image analysis, medical image and other directions, can solve the problems of less clinical experience, wrong doctor diagnosis and treatment results, patient loss, etc., to achieve strong lesion identification ability, superior generalization ability, saving effect of time

Inactive Publication Date: 2018-12-07
四川希氏异构医疗科技有限公司
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the doctor has less clinical experience, weak professional ability or some defects in the corresponding image data, it may lead to errors in the doctor's diagnosis and treatment results, causing great loss and harm to the patient

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
  • Endoscope image determining system and method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0026] Any feature disclosed in this specification, unless specifically stated, can be replaced by other alternative features that are equivalent or have similar purposes. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0027] An endoscopic image determination system, comprising:

[0028] The input module is used to receive medical images of patients to be diagnosed;

[0029] An image processing module, configured to perform preprocessing and feature extraction operations on the medical images;

[0030] The artificial intelligence judgment module is used to compare the input features to be diagnosed with the standard feature sets of each disease in the training gallery to obtain the probability of the patient suffe...

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 endoscope image determining system and a method thereof. The endoscope image determining system comprises the components of an input module which is used for receiving the medical image of a to-be-diagnosed patient; an image processing module which is used for performing preprocessing and characteristic extraction operation on the medical image; an artificial intelligence determining module which is used for comparing an input to-be-diagnosed characteristic with the standard characteristic set of each disease in a training picture database and obtains a disease probability of the patient; and an output module which is used for outputting an artificial intelligence determining result. The system is utilized for analyzing and diagnosing related medical records in the form of image and picture, thereby reducing misdiagnosis and diagnosis omission rate of a doctor. The system and the method are particularly suitable for the basic-level and remote-area health centers with relatively backward medical resources and relatively low professional level of the doctor. Furthermore the to-be-diagnosed patient can be quickly correlated with one or multiple diseases, thereby saving a large amount of time for subsequent definite diagnosis.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to an endoscopic image judgment system and method. Background technique [0002] Some diseases, such as gastrointestinal diseases, usually require the use of endoscopic therapeutic equipment to obtain relevant images and pictures to provide the basis for examination and diagnosis for doctors. After obtaining medical images and pictures, doctors make corresponding diagnosis and treatment results through actual observation, which has very high requirements for doctors' experience and professional ability. If the doctor has less clinical experience, weak professional ability, or some defects in the corresponding imaging data, it may lead to errors in the doctor's diagnosis and treatment results, causing great loss and harm to the patient. Contents of the invention [0003] Based on the above-mentioned defects of the prior art, embodiments of the present invention provi...

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
IPC IPC(8): G06K9/62G06T5/00G06T7/11G06T7/13G06T7/181G16H30/20
CPCG06T7/11G06T7/13G06T7/181G16H30/20G06T2207/20076G06T2207/10068G06F18/22G06F18/2415G06F18/214G06T5/70
Inventor 宋捷郝晓亮刘科吴鉴蘅茹锐
Owner 四川希氏异构医疗科技有限公司
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
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