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

Image labeling method, device and system and cell labeling method

An image labeling and image technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of high labeling cost, large manpower and material resources, etc., and achieve the effect of reducing calculation, saving manpower and material resources, and improving labeling efficiency

Active Publication Date: 2019-12-13
腾讯医疗健康(深圳)有限公司
View PDF13 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Taking the labeling of cells in pathological slices as an example, it is necessary to accurately outline the boundaries of cells when labeling cells. If only manual labeling is used to label cells in pathological sections, it will take a lot of manpower and material resources, and labeling costs also very high

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 labeling method, device and system and cell labeling method
  • Image labeling method, device and system and cell labeling method
  • Image labeling method, device and system and cell labeling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art.

[0047] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, ap...

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 labeling method, device and system and a cell labeling method, and relates to the field of artificial intelligence. The method comprises the steps of obtaining a to-be-labeled image, wherein the to-be-labeled image comprises an identifier for pre-labeling a target object; performing image segmentation on the to-be-labeled image to obtain superpixels corresponding tothe to-be-labeled image; and performing super-pixel clustering according to the pixel information corresponding to the identifier and the pixel information in the super-pixels so as to mark the target object. According to the method and the apparatus, the target object is prevented from being completely labeled in a manual labeling manner, so that manpower and material resources are saved and thelabeling efficiency is improved; in addition, image segmentation is carried out on the to-be-labeled image to form superpixels, the calculation amount during pixel clustering can be reduced, and thelabeling efficiency is further improved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular, to an image tagging method, an image tagging device, an image tagging system, and a cell tagging method. Background technique [0002] In order to obtain the information in the image, it is usually necessary to label the objects in the image. At present, there are two main methods for labeling images: manual labeling and automatic labeling. Manual labeling is to manually identify and identify the objects in the image. Marking, automatic labeling is the recognition and marking of objects in images based on artificial intelligence. Image annotation is widely used in many fields, especially in the medical field. [0003] Taking the labeling of cells in pathological slices as an example, it is necessary to accurately outline the boundaries of cells when labeling cells. If only manual labeling is used to label cells in pathological sections, it will take a lot ...

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): G06T3/40G06T7/11G06T7/73G06T7/90G06K9/62
CPCG06T3/4053G06T7/11G06T7/73G06T7/90G06T2207/30004G06T2207/10024G06F18/23
Inventor 田宽江铖沈荣波张军颜克洲
Owner 腾讯医疗健康(深圳)有限公司
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