Brain disease identification method based on multistage partition bag-of-words model

A bag-of-words model and partitioning technology, applied in the field of medical image processing, can solve the problem of underutilization of location information

Active Publication Date: 2016-07-20
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned bag-of-words model is mainly implemented based on the wh

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
  • Brain disease identification method based on multistage partition bag-of-words model
  • Brain disease identification method based on multistage partition bag-of-words model
  • Brain disease identification method based on multistage partition bag-of-words model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical problems solved by the embodiments of the present invention, the technical solutions adopted, and the technical effects achieved will be described clearly and completely below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other equivalent or obviously modified embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Embodiments of the invention can be embodied in a number of different ways as defined and covered by the claims.

[0023] It should be noted that, in the following description, for the convenience of understanding, many specific details are given. It is apparent, however, that the present invention may be practiced without these specific details.

[002...

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 brain disease identification method based on a multistage partition bag-of-words model. The method comprises the following steps: preprocessing brain magnetic resonance structure images of each sample in a training sample set and a test sample set; next, based on a standard brain template, two-dimensional magnetic resonance structure images of each sample of the training sample set and each sample of the test sample set, respectively extracting structural features; then, performing multistage brain partition on the standard brain template; for the structural features of the standard template, respectively constructing a partition bag of words in each partition by use of a supervision-free clustering method; then, by use of the partition bags of words of each grade, constructing a bag-of-words histogram of each grade of each sample; and finally, by use of the bag-of-words histograms of each grade, establishing a multistage classifier for classifying the test samples so as to realize brain disease identification. The brain magnetic resonance structure image classification method based on the multistage partition bag-of-words model, provided by the embodiment of the invention, carries out disease identification and individual attribute determining and provides assistance for brain disease clinic analysis diagnosis.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of medical image processing, in particular to a brain disease recognition method based on a multi-level partition bag-of-words model. Background technique [0002] As a non-invasive brain imaging method, magnetic resonance imaging has been widely used in the study of brain diseases. Accurate diagnosis of brain diseases plays a positive role in disease treatment. Using magnetic resonance structural images to objectively assess disease status and assist medical diagnosis has become a hot spot in current research. [0003] The representation of magnetic resonance structural images by using the local structural features of images has attracted attention. The bag-of-words model is an image representation method based on local features. Its basic idea is to represent the image with the probability distribution (histogram) of local features (visual words). The bag-of-words model is wide...

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): G06K9/54G06K9/46G06K9/62
CPCG06V10/464G06V10/20G06V2201/03G06F18/285G06F18/23G06F18/2411
Inventor 张文生李悟李涛
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap