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

Method and device for recognizing nidi through breast images

A lesion identification and breast technology, which is used in mammography, instruments for radiological diagnosis, medical science, etc., can solve the problems of low efficiency of breast lesions, and achieve the effect of improving effectiveness, reducing the amount of parameters, and improving efficiency.

Active Publication Date: 2019-02-22
HANGZHOU YITU MEDIAL TECH CO LTD
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and device for identifying breast lesions in breast images, which are used to solve the problem of low efficiency in the prior art of judging breast lesions in breast images based on doctor's experience

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
  • Method and device for recognizing nidi through breast images
  • Method and device for recognizing nidi through breast images
  • Method and device for recognizing nidi through breast images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049]In order to make the object, technical solution and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] In the embodiment of the present invention, a mammogram is taken as an example for an exemplary description, and other images are not repeated here. Mammography can use low-dose (about 0.7 millisievert) X-rays to examine human (mainly female) breasts. It can detect various breast tumors, cysts and other lesions, and is helpful for early detection of breast cancer. and reduce its mortality rate. Some countries encourage older women (generally over 45 years of age) to undergo regular mammography (at intervals ranging from one to five years) to detect early breast cancer. Breast ima...

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 embodiment of the invention provides a method and device for recognizing nidi through breast images, and relates to the technical field of machine learning. The method comprises the steps of obtaining the breast images; inputting the breast images to a feature extracting module, and obtaining the feature images of different sizes from the breast images; aiming at any feature image in the feature images of different sizes from the breast images, determining a breast nidus recognition frame from the feature image; according to the breast nidus recognition frame determined from all the feature images, determining the breast nidi of the breast images.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine learning, and in particular to a method and device for identifying breast image lesions. Background technique [0002] At present, breast imaging can use low-dose X-rays to examine human breasts. It can detect various breast tumors, cysts and other lesions, which is helpful for early detection of breast cancer and reduces its mortality. Breast imaging is an effective detection method that can be used to diagnose a variety of female breast-related diseases. Of course, the most important use is still in the screening of breast cancer, especially early breast cancer. Therefore, if we can effectively detect various early manifestations of breast cancer on mammography, it will be of great help to doctors. [0003] After a patient takes a breast image, the doctor judges the lesion in the breast image based on personal experience. This method is inefficient and has a high degree o...

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): A61B6/00
CPCA61B6/502A61B6/5217
Inventor 魏子昆华铱炜蔡嘉楠
Owner HANGZHOU YITU MEDIAL 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