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Construction training method and device for urine examination identification classifier and computer device

A training method and classifier technology, applied in the field of deep learning, can solve the problems of increased use cost of the card slot, complicated instrument operation, maintenance, calibration, and high operation requirements, so as to save time and cost, improve matching recognition efficiency, and improve recognition The effect of precision

Active Publication Date: 2019-01-25
深圳市飞点健康管理有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the traditional urine routine test, the tester goes to the hospital for urine test, and the test result is obtained by the doctor through the comparison of professional instruments, but the operation, maintenance, and calibration of the instrument are complicated and costly, which affects the stability of the light source and the ambient temperature and humidity. have higher requirements
It is cumbersome and time-consuming for testers to go to the hospital for testing
[0004] In the existing field of mobile urine testing, the positioning of the test paper color block is mainly to place the test paper in a card slot with a positioning mark, and to locate the test paper color block by the fixed position mark on the card slot. This positioning method requires the test paper Fixed placement requires high user operation requirements, especially for older users, the operation is more cumbersome, in addition, the use of card slots also increases the cost of use

Method used

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  • Construction training method and device for urine examination identification classifier and computer device
  • Construction training method and device for urine examination identification classifier and computer device
  • Construction training method and device for urine examination identification classifier and computer device

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Experimental program
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Embodiment 1

[0058] figure 1 It shows a schematic flowchart of a method for constructing and training a urine test recognition classifier provided in the first embodiment of the present invention.

[0059] The construction training method of this urine test recognition classifier comprises the following steps:

[0060] In step S110, the region of interest of the image to be identified in each urine test strip in the lake area.

[0061] The urine test strips can be divided into urine 11-item test strips, urine 14-item test strips, early pregnancy test strips, ovulation test strips, etc. according to different inspection items.

[0062] Further, the urine test paper includes two positioning blocks and a predetermined number of reaction blocks, the two positioning blocks are respectively located at both ends of the urine test paper, and the predetermined number of reaction blocks are distributed equidistantly according to the preset distribution intervals. between two positioning blocks.

...

Embodiment 2

[0169] Figure 6 A structural schematic diagram of a construction training device for a urine test recognition classifier provided by an embodiment of the present invention is shown.

[0170] The structure training device 600 of the urine test recognition classifier includes an acquisition module 610 , an extraction module 620 , a storage module 630 , a construction module 640 and a training module 650 .

[0171] An acquisition module 610, configured to acquire the region of interest of the image to be recognized in each urine test strip.

[0172] An extraction module 620, configured to extract the feature vector of the region of interest.

[0173] The storage module 630 is configured to store the feature vector of each urine test paper and the category corresponding to the urine test paper as a sample.

[0174] A construction module 640, configured to construct a urine test identification classifier according to a first predetermined number of samples.

[0175] The trainin...

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Abstract

The invention discloses a construction training method and device for a urine examination identification classifier and a computer device. The method comprises the following steps: acquiring a regionof interest of an image to be identified in each urine examination test paper; Extracting a feature vector of the region of interest; Storing the feature vector of each urine test paper and the classification corresponding to the urine test paper as a sample; Constructing a urine test identification classifier from a first predetermined number of samples; The urine test identification classifier is trained by a second predetermined number of samples, and an attribute node in the urine test identification classifier is adjusted according to a training result, and a training process is repeateduntil a classification accuracy rate of the urine test identification classifier reaches a preset threshold value. The invention establishes a urine test paper classifier through the thought of depthlearning, and trains the classifier to obtain the mapping relationship between the urine test paper and the classification, so as to improve the identification accuracy.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a construction training method, device and computer equipment for a urine test recognition classifier. Background technique [0002] With the vigorous development of technologies such as mobile Internet, computer vision and image processing, the computing power of computers is getting stronger and stronger, and more and more attention has been paid to urine testing through computer technology. Urine testing through computer technology is not only highly accurate, but also more automatic. , faster, more convenient and lower cost. [0003] In the traditional urine routine test, the tester goes to the hospital for urine test, and the test result is obtained by the doctor through the comparison of professional instruments. However, the operation, maintenance and calibration of the instrument are complicated and costly, which has great influence on the stability of the l...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/44G06V10/56G06F18/24323
Inventor 聂靖叶亚金常玉棋蔡贤明潘晓春
Owner 深圳市飞点健康管理有限公司
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