Artifact-free data and artifact-containing data generation method and system and storage medium

A technology of data quantity and generation algorithm, applied in the field of image processing

Pending Publication Date: 2020-10-23
东软教育科技集团有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of small samples and diversity of CT artifact-free data and artifact-containing data, this application provides a method, system and storage medium for generating artifact-free data and artifact-containing d

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
  • Artifact-free data and artifact-containing data generation method and system and storage medium
  • Artifact-free data and artifact-containing data generation method and system and storage medium
  • Artifact-free data and artifact-containing data generation method and system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0057] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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 provides an artifact-free data and artifact-containing data generation method and system and a storage medium, and the method comprises the steps of carrying out the small sample expansion of real artifact-free data based on a generative adversarial network model, and obtaining massive artifact-free data; and generating artifact simulation data based on the artifact generation methodand the real artifact-free data, and then generating massive artifact data by using a generative adversarial network model based on the generated artifact simulation data and the real artifact data.According to the method, the problems that medical CT artifact-free and artifact-containing samples are difficult to obtain, the data size is small, the diversity is low, a large amount of private data is involved and the labeling cost is high are solved, and artifact-free and artifact-containing data generation is beneficial for deep learning to carry out artifact recognition.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to methods, systems and storage media for generating data without artifacts and data with artifacts. Background technique [0002] Computerized tomography, or CT, is widely used in the detection of various human diseases due to its fast scanning time and clear images. However, due to the complexity of the CT imaging process, when the scanned object is slightly moved or affected by other factors, a lot of motion artifacts will inevitably appear in the CT imaging process, and the artifacts will lead to poor image quality, resulting in misdiagnosis and missed diagnosis by doctors. Or it cannot be judged. Therefore, automatic detection and reduction of motion artifacts are of great significance for improving the quality of medical images and assisting doctors in diagnosis. [0003] Artificial intelligence can effectively detect and remove artifacts automatically. In th...

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): G06T7/44G06T7/11G06T7/00G06T11/00G16H30/40G06K9/32
CPCG06T7/44G16H30/40G06T7/0012G06T7/11G06T11/001G06T11/005G06T11/008G06T2207/10081G06T2207/20081G06T2207/20084G06V10/25
Inventor 王澈李雪张宾来关军孙箫宇于丹苏康
Owner 东软教育科技集团有限公司
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
Try Eureka
PatSnap group products