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

Quantitative module analysis method for breast examination image

An analysis method and breast technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of low accuracy, false negative and high false positive rate of abnormal breast tissue inspection

Inactive Publication Date: 2016-11-09
江苏大唐健康科技有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the diversity and complexity of breast tissue, even under better imaging and diagnostic conditions, there are still false negative results and a high false positive rate
[0004] Due to the diversity and complexity of breast tissue and the defects of various existing breast examination methods, the accuracy of the existing breast examination methods for breast tissue abnormalities is low

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

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0015] A method for quantitative module analysis of breast examination images, comprising the steps of:

[0016] (1) Data information entry: enter the patient's basic information, including the patient's code, name, birth information, medical record report, continuous follow-up of breast disease and breast scan preprocessing histogram, and record the scan position of the patient's breast , length of menstrual cycle, days of scheduled menstrual cycle or menopause, duration of pregnancy or duration of lactation;

[0017] (2) Draw a compound histogram: Press the "PARAMETERS" button to convert the preprocessed histogram into a simple histogram, which becomes a histogram surrounding a compound for its further use, for example, to compare it with a standard or another histogram image comparison, this operation applies to the entire series of images at the same time;

[0018] (3) Modify the icon type: Press the "GRAPH TYPE" button to modify the form of the envelope histogram and 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 discloses a quantitative module analysis method for mammary gland examination images, which comprises the following steps: (1) data information entry; (2) drawing a composite histogram; (3) modifying icon types; (4) comparing with standard images; (5) Check tomographic comparison. The present invention performs quantitative module analysis on the scanning processing histogram of the breast, adopts the means of drawing a composite histogram, modifying the icon type, comparing with the standard map, and checking the section comparison, and finally can perform accurate quantitative analysis on breast diseases.

Description

technical field [0001] The invention specifically relates to a quantitative module analysis method of mammary gland examination images. Background technique [0002] In recent years, the mortality rate caused by abnormal breast tissue has gradually increased, mainly because the abnormal breast tissue was discovered too late, and the better treatment time was missed. Therefore, regular breast examination is the best choice for early detection of abnormal breast tissue. There are many common methods of breast examination, such as B-ultrasound mammary gland examination, mammography mammography X-ray examination and so on. [0003] B-ultrasound breast examination is to use the ultrasonic signal reflected by the breast to achieve the purpose of breast imaging. It has the advantages of no radiation, simple operation, and no need to squeeze the breast. However, the accuracy of abnormal breast tissue inspection is low, and there are false negatives. Possibly, diagnostic accuracy d...

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): G06T7/00G06F19/00
CPCG06T7/0014G06T2207/30068G16H50/20
Inventor 不公告发明人
Owner 江苏大唐健康科技有限公司
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