Intelligent screening method and system thereof for abnormal tongue images

An abnormal tongue image and tongue image technology, applied in the intelligent screening method and system field of abnormal tongue image, can solve the problems affecting the accuracy of diagnosis results, the complexity of the self-state of the examinee, and the lack of objective and quantitative measurement Methods and other issues to achieve the effect of high accuracy, avoid limitations, and improve correctness

Pending Publication Date: 2020-08-11
中润普达(十堰)大数据中心有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional tongue diagnosis information is mainly obtained by clinical subjective judgment, lack of objective and ...

Method used

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  • Intelligent screening method and system thereof for abnormal tongue images
  • Intelligent screening method and system thereof for abnormal tongue images
  • Intelligent screening method and system thereof for abnormal tongue images

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Experimental program
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Embodiment 1

[0051] Such as figure 1 As shown, a kind of intelligent screening method of abnormal tongue image of the present invention comprises the following steps:

[0052] S1. Collect the data of abnormal tongue symptoms, conduct professional tongue evaluation on the collected tongue data according to the tongue and physical health status of different regions, ages, healthy or sub-healthy people, and construct the TCM tongue through the method of unanimous review diagnosis knowledge platform and expert-assisted diagnosis system;

[0053] Preferably, before proceeding to the next step, preprocessing and enhancement operations are performed on the input human tongue image. The specific steps are: use the mirror image of the human tongue image to convert the shape and color space, and use the image histogram to adjust the contrast of the human tongue image to enhance the contrast of the abnormal tongue symptom image in the human tongue image.

[0054] S2. Using the fine-grained image cl...

Embodiment 2

[0059] On the basis of Embodiment 1, this embodiment provides a process for extracting abnormal symptom features of an input human tongue image image by using a fine-grained image classification algorithm and an artificial neural network algorithm. Specific steps are as follows:

[0060] S101. Complete the training of the attention network model through the training set samples with category labels, label boxes, local area spatial positions and descriptions, and input human tongue image images with category labels, label boxes, local area spatial positions and descriptions for training A good attention network model generates a corresponding attention distribution map;

[0061] Further preferably, since in the traditional model training and testing process, it is necessary to perform scale transformation on the input human tongue image according to the network structure, in the transformation process, it is easy to cause local information loss and the candidate area still cont...

Embodiment 3

[0078] On the basis of Embodiment 1 or Embodiment 2, this embodiment provides an intelligent screening system for abnormal tongue images, which includes a server, a photographing device, a display unit, an intelligent terminal, and a recording unit; the server includes: abnormal tongue images Health check module, match module, information transfer module, recheck module and transfer module.

[0079] The photographing device is used to photograph the subject's abnormal tongue image, and transmits the characteristic photos of the subject's abnormal tongue image symptom to the server; further preferably, the photographing device is equipped with a model for displaying the tongue image to instruct the subject to take pictures. instruction module. In this embodiment, by installing an indication module in the photographing device, it is very convenient for users to take photographs, so that ordinary users without medical knowledge can also use it. The shooting device may be any one...

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Abstract

The invention provides an intelligent screening method and an intelligent screening system for abnormal tongue image. The intelligent screening method and the intelligent screening system have the beneficial effects that: by constructing a knowledge platform of traditional Chinese medicine tongue diagnosis and an expert auxiliary diagnosis system, an objective and quantitative measurement means isprovided for tongue diagnosis information judgment, and the diagnosis correctness is improved; a fine-grained image classification algorithm based on an attention mechanism is adopted, and the attention mechanism reflects the perception difference of a human vision system to the surrounding environment, that is, attention is focused on a salient region in the environment; a convolutional neural network is used for simulating visual attention properties of human beings, so that information of classification targets is fully utilized, and the accuracy rate of tongue image fine-grained image classification can be improved; under the inspiration of the visual attention mechanism, spatial position features are introduced into classification and modeling is carried out in the process of utilizing the fine-grained image classification algorithm, namely, a plurality of key regions of a tongue image are positioned, modeling is carried out according to the spatial relationship among all parts of the tongue image, and the integrity and discrimination of part features can be improved.

Description

technical field [0001] The invention relates to the technical fields of medical image processing and artificial intelligence-assisted diagnosis, in particular to an intelligent screening method and system for abnormal tongue images. Background technique [0002] Tongue diagnosis is an important content of traditional Chinese medicine inspection, and it is also an important means of clinical observation and diagnosis of diseases. Tongue diagnosis understands the physiological functions and pathological changes of the human body by observing abnormal tongue images, and then conducts syndrome differentiation and treatment on this basis. However, traditional tongue diagnosis information is mainly obtained by clinical subjective judgment, lacking objective and quantitative measurement methods, and the complexity of the self-state of the examinee also affects the accuracy of the diagnosis result. Therefore, in order to solve the above problems, the present invention provides an i...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30004G06N3/047G06N3/045G06F18/241G06F18/2415
Inventor 杜登斌杜乐杜小军
Owner 中润普达(十堰)大数据中心有限公司
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