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

Medical image classification device and system

A medical image and classification device technology, applied in the field of medical image processing, can solve the problems of low accuracy and poor performance of image classification, and achieve the effect of reducing the risk of overfitting and improving accuracy

Active Publication Date: 2019-08-06
GUANGDONG UNIV OF TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005]Related technologies generally realize the recognition of medical images of patients with Alzheimer's disease by analyzing the collected medical images. However, in the process of medical image analysis, due to the The etiology of Haimer's disease is unknown so far, and the ROI ((region of interest) performance of selected medical images is not good, resulting in low accuracy of final image classification

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
  • Medical image classification device and system
  • Medical image classification device and system
  • Medical image classification device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make those skilled in the art better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] The terms "first", "second", "third", "fourth", etc. in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. . Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of ste...

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 embodiment of the invention discloses a medical image classification device and system. The device comprises a classifier pre-construction module and an image classification module. The classifierpre-construction module is used for extracting a plurality of ROI images of each medical sample image in the training sample set, and then each class of ROI images is trained by utilizing a three-dimensional convolutional neural network to obtain corresponding base classifiers; and an optimal base classifier is selected from the plurality of base classifiers by using a genetic algorithm based ona preset fitness value, and finally an image classifier is generated based on each optimal classifier. The image classification module is used for inputting the to-be-identified medical image into a pre-constructed image classifier to obtain a classification result of the to-be-identified medical image. According to the device and sytem, the accuracy of medical image classification is improved, the medical image of the early-stage Alzheimer's disease can be accurately recognized, and assistance is provided for prevention and diagnosis of patients with the early-stage Alzheimer's disease.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of medical image processing, and in particular, to a medical image classification device and system. Background technique [0002] Alzheimer's disease is a progressive neurodegenerative disease with insidious onset, which can be detected by structural imaging or functional neuroimaging in medicine. [0003] Structural imaging such as head CT (Computer Tomography, computed tomography) and MRI (Magnetic Resonance Imaging, magnetic resonance imaging) examinations can show obvious cortical atrophy, especially the hippocampus and medial temporal lobe, supporting the clinical diagnosis of Alzheimer's. Functional neuroimaging such as positron emission tomography and single-photon emission computed tomography can improve the diagnostic confidence of dementia. [0004] The clinical manifestations of Alzheimer’s disease are different in different stages, such as the decrease of frontal lobe meta...

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): G06K9/62G06K9/32G06N3/04G06N3/12
CPCG06N3/126G06V10/25G06N3/045G06F18/24G06F18/214
Inventor 曾安邹超潘丹
Owner GUANGDONG UNIV OF TECH
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