Unlock instant, AI-driven research and patent intelligence for your innovation.

Apparatus for predicting metadata of medical image and method thereof

A medical image and metadata technology, applied in the fields of medical data mining, image data processing, medical images, etc., can solve the problems of inability to judge medical images, inability to machine learning of medical images, wrong judgments, etc.

Active Publication Date: 2020-11-24
株式会社润医
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, medical personnel cannot judge medical images or make wrong judgments
In addition, in order to perform machine learning on medical images, standardized medical images are required, but if metadata is stored according to different standards, there is a problem that machine learning on medical images cannot be performed correctly

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
  • Apparatus for predicting metadata of medical image and method thereof
  • Apparatus for predicting metadata of medical image and method thereof
  • Apparatus for predicting metadata of medical image and method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Advantages and features of the disclosed embodiments and methods of achieving them will become apparent with reference to the accompanying drawings and embodiments described hereinafter. However, the present disclosure is not limited to the embodiments disclosed below, but can be implemented in various forms different from each other, and the present embodiments are provided only to make the present disclosure complete and to inform those of ordinary skill in the art to which the present disclosure pertains. fully inform the scope of the present invention.

[0035] Terms used in this specification will be briefly explained, and the disclosed embodiments will be specifically explained.

[0036] The terminology used in this specification is based on the consideration of the functions in the present disclosure, and the general terminology that is currently widely used is selected as much as possible, but it may be changed according to the intention of those skilled in the ...

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 relates to a method for performing machine learning on a relationship between a medical image and metadata by using a neural network. An apparatus and a method for obtaining metadata byapplying a machine learning model to a medical image, including the steps of: learning a prediction model that predicts metadata of a medical image based on a plurality of medical images for learningand metadata respectively matched with the plurality of medical images; and predicting metadata of the input medical image by using the learned prediction model.

Description

technical field [0001] The present disclosure relates to a device and method for performing machine learning on the relationship between medical images and metadata by using a neural network, and obtaining metadata by applying the machine learning model to the medical images. Background technique [0002] According to Digital Imaging and Communications in Medicine (DICOM), which is a data standard of medical images, DICOM data roughly includes two kinds of information. One is the raw medical image (raw pixel array), and the other is the metadata recorded in the DICOM header. [0003] Medical image analysis first utilizes values ​​recorded in DICOM headers. For example, the medical personnel judge whether the medical image is the body part of the patient to be judged by checking the value of the "Body Part Examined" attribute in the DICOM header, and then make the medical image judgment. In addition, medical professionals can use the "Window Center / Width" attributes of the ...

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): G16H30/40G16H30/20G06T7/00
CPCG16H30/40G16H30/20G06T7/0012G06T2207/10081G06T2207/10088G06T2207/10116G06T2207/20081G06T2207/20084G06T2207/30096G16H50/70A61B6/032A61B5/055A61B8/00G06T7/70G06T2207/30004G06V30/166G06F18/214G06V10/70G06N20/00A61B5/0013G16H30/00A61B2576/00G06V2201/10G06V10/82G06V10/75
Inventor 朴钟赞俞同根
Owner 株式会社润医