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

Image recognition method and device

An image recognition and to-be-recognized technology, applied in the image field, can solve the problem of low recognition accuracy of the lesion area, and achieve the effect of accurate recognition, improved recognition accuracy and efficiency, and improved efficiency.

Active Publication Date: 2020-11-06
CHINA UNITED NETWORK COMM GRP CO LTD
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide an image recognition method and equipment to solve the problem of low accuracy of lesion area recognition in the prior art

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 recognition method and device
  • Image recognition method and device
  • Image recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments 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 creative efforts fall within the protection scope of the present invention.

[0074] In the prior art, after the doctor obtains the patient's medical image, he judges whether the human tissue in the medical image has a lesion based on experience, that is, identifies the lesion in the medical image, and then diagnoses the patient's condition according to the lesion. However, since doctors need to manually identify the lesion...

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 image recognition method and device. The method comprises the following steps: acquiring a to-be-recognized medical image sent by a user terminal; decoding the to-be-identified medical image to obtain a processed medical image; processing the processed medical image by adopting a target network model to obtain a lesion area in the processed medical image, wherein the target network model is obtained by training a basic network model; and sending the lesion area to the user terminal. According to embodiments of the invention, the to-be-identified medical image sent bythe user terminal is decoded to obtain the processed medical image, and the target network model is used for identifying the processed medical image to obtain the lesion area in the medical image, soaccurate identification of the lesion area is realized, artificial identification of the lesion area in the medical image is not needed, and the identification accuracy and efficiency of the lesion area are improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of image technology, and in particular, to an image recognition method and device. Background technique [0002] In modern society, tomography (Computed Tomography, CT), X-ray and other medical images play an increasingly critical role for doctors to diagnose patients' conditions. After obtaining the patient's medical image, the doctor observes the patient's medical image and judges whether there is a lesion in the human tissue in the medical image based on experience, that is, identifies the lesion in the medical image, and then diagnoses the patient's condition according to the lesion. [0003] However, the inventors found that since doctors need to manually identify the lesion in the medical image based on experience, recognition errors are prone to occur, resulting in a low recognition accuracy of the lesion. Contents of the invention [0004] Embodiments of the present invention provide a...

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): G16H30/20G06K9/62G06K9/32G06N3/04
CPCG16H30/20G06V10/25G06V2201/03G06N3/045G06F18/241G06F18/214
Inventor 孔令兴苏畅任立刚李扬张克寒李璐于楠
Owner CHINA UNITED NETWORK COMM GRP 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