Segmented vertebra CT image segmentation method based on deep learning

A CT image, deep learning technology, applied in image analysis, image enhancement, image data processing and other directions

Active Publication Date: 2021-08-27
HARBIN UNIV OF SCI & TECH
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve some problems existing in the existing deep learning; the object of the present invention is to provide a segmental vertebral CT image segmentation method based on deep learning

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
  • Segmented vertebra CT image segmentation method based on deep learning
  • Segmented vertebra CT image segmentation method based on deep learning
  • Segmented vertebra CT image segmentation method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention is described below through specific embodiments shown in the accompanying drawings. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. The structures, proportions, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the conditions for the implementation of the present invention. Therefore, Without technical substantive significance, any modification of structure, change of proportional relationship or adjustment of size shall still fall within the technology disclosed in the present invention without affecting the effect and purpose of the present invention. within the scope of the conten...

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 segmented vertebra CT image segmentation method based on deep learning, and relates to the technical field of image segmentation. The segmentation method comprises the following steps: step 1, preprocessing a spine CT image; step 2, performing vertebra center detection; step 3, segmenting the vertebra CT image. According to the invention, all visible vertebra centers in a current image are automatically detected in a deep learning mode, and high-resolution segmentation is performed on the vertebra centers through a segmentation network; doctors are helped to effectively find vertebra deformity and injury in an early stage, so that prevention and treatment can be performed in time.

Description

technical field [0001] The invention belongs to the technical field of image segmentation, and in particular relates to a segmental vertebral CT image segmentation method based on deep learning. Background technique [0002] The spine is an important part of the human skeletal system. While maintaining and supporting body structures and organs, it also plays an important role in human mechanical activities and load transfer. Spinal disorders caused by deformities or injuries of the spine are very dangerous and generally difficult to diagnose in their early stages. Under the analysis of medical images (such as CT, MR, etc.), vertebral deformities and injuries can be effectively detected, so that timely prevention and treatment can be achieved. Vertebral detection and vertebral segmentation are important steps for diagnosis and treatment. Early vertebral segmentation algorithms and machine learning methods have low segmentation accuracy due to their own limitations. Deep le...

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): G06T7/11G06T5/00G06K9/62
CPCG06T7/11G06T5/009G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30012G06F18/2321
Inventor 李冰刘创
Owner HARBIN UNIV OF SCI & TECH
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