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

Image segmentation method and device, equipment and storage medium

An image segmentation and image technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of poor image segmentation method and other problems, and achieve the effect of solving poor results.

Pending Publication Date: 2021-05-25
BEIJING SHENRUI BOLIAN TECH CO LTD +1
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of this application is to provide an image segmentation method, device, equipment, and storage medium to solve the problem of poor image segmentation methods

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 segmentation method and device, equipment and storage medium
  • Image segmentation method and device, equipment and storage medium
  • Image segmentation method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0028] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for...

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 segmentation method and device, equipment and a storage medium. The method comprises the following steps: inputting a CTA image, wherein the CTA image is a 3D image; predicting a true cavity, a false cavity and an aorta of an aortic dissection in the CTA image, wherein convolution parameters of each task in multi-task prediction for performing supervision training are shared in different prediction periods; and outputting one of the segmentation results of the true cavity, the false cavity or the aorta of the aortic dissection. The technical problem that the image segmentation method is poor in effect is solved. Through the multi-task depth supervision segmentation model provided by the invention, the segmentation performance under a small number of samples is effectively improved.

Description

technical field [0001] The present application relates to the field of image segmentation, and in particular, to an image segmentation method, device, equipment, and storage medium. Background technique [0002] Deep learning methods have been widely used in the field of computer vision, especially in the relatively basic field of semantic segmentation. In some semantic segmentation methods, 3D convolution, pooling and other operations are used to replace 2D operations, which can achieve end-to-end image semantic segmentation of 3D images, which is suitable for medical image segmentation of three-dimensional structures. [0003] The inventors found that although a deep supervision technique is proposed for the problem of segmentation of a small number of samples, it is easy to cause mean calculation errors and unstable training. further affect accuracy. [0004] For the problem of poor image segmentation methods in the related art, no effective solution has been proposed y...

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): G06T7/11G06N3/08G06N3/04
CPCG06T7/11G06N3/08G06T2207/10081G06T2207/20084G06T2207/20081G06T2207/30101G06N3/045
Inventor 王成王怡宁俞益洲
Owner BEIJING SHENRUI BOLIAN TECH CO LTD
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