Skin allergen thorn automatic detection and analysis method based on manual labeling information

An automatic detection technology for skin allergies, applied in image analysis, neural learning methods, image data processing, etc., can solve problems such as large errors, low efficiency, and long time-consuming manual detection, so as to improve clinical diagnosis and treatment capabilities and improve execution efficiency effect

Pending Publication Date: 2020-12-11
重庆康盛医道信息科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Not only the error is large when measuring the area of ​​the reaction area, but also the manual detection takes a long time and the efficiency 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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Skin allergen thorn automatic detection and analysis method based on manual labeling information
  • Skin allergen thorn automatic detection and analysis method based on manual labeling information
  • Skin allergen thorn automatic detection and analysis method based on manual labeling information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to better understand the technical solutions in the embodiments of the present invention, the above objects, features and advantages of the embodiments of the present invention can be more obvious, and the technical solutions in the embodiments of the present invention will be described below in conjunction with the accompanying drawings. Work more detailed description.

[0034] In the description of the present invention, it is necessary to explain that the term "connection" is needed, unless otherwise specified and defined, and, for example, a mechanical connection or electrical connection, or an inner communication inside the two elements, may be Directly, it can also be indirectly connected via an intermediate medium, and for those skilled in the art, the specific meaning of the above terms can be understood according to the specific situation.

[0035] like figure 1 Shown, embodiments of the present invention comprises the steps of manual annotation informatio...

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 skin allergen thorn automatic detection and analysis method based on artificial labeling information. The method comprises the following steps: determining a skin allergen corresponding to an arm thorn position through a digital thorn template, and labeling boundaries and stroking marks on two sides of a thorn region; a visual algorithm is adopted to automatically identify the reaction region of each skin allergen and calculate the reaction area, and then the reaction area of each skin allergen is compared with the reaction area of the positive control liquid to judgethe allergy grade of the tested person to each skin allergen. According to the invention, through a computer vision automatic detection and analysis method and a digital storage method, the area of areaction area is automatically measured, the allergen grade of allergens is judged, and compared with a traditional manual detection method, the execution efficiency of a skin allergen thorn detection test is improved; the structured digital report generated by the method can be used for scientific research investigation and analysis, and the clinical diagnosis and treatment ability of subjects is improved.

Description

Technical field [0001] The present invention relates to a skin allergen detection, and more particularly relates to prick automatic detection analysis method based on manual annotation information skin allergies. Background technique [0002] Allergens commonly used skin prick test mode a small amount of highly purified allergens in a liquid drop test personnel forearm, then gently piercing needle prick the skin surface of the patient such as allergens, it will be within ten site within five minutes prick red mosquito bites a similar mass (i.e., reaction zone), the reaction occurs itching, or there is a change in color, it is possible to determine the presence of allergic diseases. The advantage is safety and higher sensitivity than patients with no pain, just as mosquito bites, like, and patients and doctors can immediately know the test results. Detection methods generally conventional manual measurement is the major axis of each primary reaction zone and a minor axis and aller...

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): G06T7/00G06T7/13G06T7/136G06T7/11G06T7/90G06N3/08
CPCG06N3/08G06T7/0012G06T2207/30088G06T7/13G06T7/136G06T7/62G06T7/90
Inventor 龙海平朱叶庆
Owner 重庆康盛医道信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap