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

Tongue body self-diagnosis health cloud service system based on deep convolution neural network

A convolutional neural network, neural network technology, applied in the field of self-service health care

Active Publication Date: 2017-01-04
汤一平
View PDF9 Cites 138 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0031] To sum up, there are still several thorny problems in using the deep learning-based convolutional neural network for "tongue diagnosis" as follows: 1) How to accurately segment the overall image of the tongue from the complex background; 2) How to use as little tagged tongue image data as possible to accurately obtain various characteristic data of the tongue; 3) How to build a highly automated tongue self-diagnosis self-service health cloud service platform; 4) How to use deep learning and Network training to automatically obtain tongue feature data; 5) How to enable users to use mobile Internet and smart phones to achieve self-health care; 6) How to provide users with more accurate, more convenient, cheaper and more effective health care cloud service

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
  • Tongue body self-diagnosis health cloud service system based on deep convolution neural network
  • Tongue body self-diagnosis health cloud service system based on deep convolution neural network
  • Tongue body self-diagnosis health cloud service system based on deep convolution neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] refer to Figure 1-24 , the technical solution adopted by the present invention to solve its technical problems is:

[0109] Tongue self-diagnosis health cloud service system based on deep convolutional neural network, including a convolutional neural network for deep learning and training recognition, a tongue segmentation method based on a full convolutional neural network, and a tongue segmentation method for tongue A deep convolutional neural network for object classification and a health cloud service platform for self-diagnosis based on the identified tongue image type; the block diagram of the tongue self-diagnosis health cloud service platform is as follows figure 1 shown;

[0110] The use and preparation of the tongue self-diagnosis health cloud service system: when taking pictures of the tongue with a mobile phone or other mobile devices, the user first washes the mouth with drinking water to prevent food and medicine from contaminating the tongue coating, an...

Embodiment 2

[0205] The tongue self-diagnosis health cloud service system based on the deep convolutional neural network of the present invention can be directly applied to hospitals and health centers at all levels. It is the same as measuring blood pressure. A pre-diagnosis; on the one hand, this can help patients quickly find the department corresponding to their condition; on the other hand, it can provide a reference for doctors to further check and diagnose.

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 tongue body self-diagnosis health cloud service system based on a deep convolution neural network. The system mainly comprises a convolution neural network used for deep learning and training recognition, a tongue body segmentation method based on the deep convolution neural network, the deep convolution neural network used for tongue image classification and a health cloud service platform used for conducting self-diagnosis according to a recognized tongue image type. According to the tongue body self-diagnosis health cloud service system based on the deep convolution neural network, the automation and intelligent level of watching the tongue for diagnosis on the basis of a mobile internet can be effectively improved, more people can understand and participate in self-service health detection, evaluation and guidance, the health consciousness of the public is improved, and the self-health management ability is increased.

Description

technical field [0001] The present invention relates to the application of technologies such as TCM tongue diagnosis, mobile Internet, database management, computer vision, image processing, pattern recognition, deep neural network and deep learning in the field of self-service health care, especially relates to a deep convolutional neural network-based Tongue self-diagnosis health cloud service system. Background technique [0002] The purpose of self-help health is to allow more people to understand and participate in self-service health testing, assessment, and guidance, thereby improving people's health awareness and self-management capabilities. Self-service health testing equipment should preferably be simple and easy for the public to grasp, and fully encourage and improve the ability to participate in self-management. [0003] Self-service health testing is not a general sense of health testing, but a self-service health testing with certain public health functions....

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): G06F19/00G06N3/08
CPCG06N3/084G16H50/20Y02A90/10
Inventor 汤一平
Owner 汤一平
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