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Deep learning based hand-foot-and-mouth disease detection system

A hand, foot and mouth disease, detection system technology, applied in informatics, medical informatics, image analysis, etc., can solve problems such as unsolved problems, and achieve the effect of improving effectiveness, improving accuracy, and improving connectivity

Pending Publication Date: 2018-03-30
济南大象信息技术有限公司
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  • Abstract
  • Description
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  • Application Information

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  • Deep learning based hand-foot-and-mouth disease detection system
  • Deep learning based hand-foot-and-mouth disease detection system
  • Deep learning based hand-foot-and-mouth disease detection system

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Embodiment Construction

[0029] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings.

[0030] Such as Figure 1-3 As shown, a hand, foot and mouth disease detection system based on deep learning, including a neural network model training module and a hand, foot and mouth disease detection module;

[0031] The neural network model training module constructs a convolutional neural network model based on the hand, foot and mouth disease lesion sample set, and analyzes the images in the hand, foot and mouth disease lesion sample set to obtain a neural network diagnostic model of hand, foot and mouth disease;

[0032] The hand, foot, and mouth disease detection module uses the neural network diagnosis model to judge based on the input image, and obtains the hand, foot, and mouth disease diagnosis result.

[0033] It also includes a correction m...

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Abstract

A deep learning based hand-foot-and-mouth disease detection system comprises a neural network model training module and a hand-foot-and-mouth disease detection module. A convolutional neural network model is constructed through the neural network model training module on the basis of a hand-foot-and-mouth disease sample set, and a hand-foot-and-mouth disease neural network diagnosis model is obtain by analysis of images in the hand-foot-and-mouth disease sample set. On the basis of input images, the hand-foot-and-mouth disease detection module judges to obtain hand-foot-and-mouth disease diagnosis results through the neural network diagnosis model. By application of the deep learning technology to automatic diagnosis of the hand-foot-and-mouth disease, a hand-foot-and-mouth disease detection core problem is transformed into a target detection problem, and detection result accuracy is improved by autonomous optimization.

Description

Technical field: [0001] The invention relates to a hand, foot and mouth disease detection system based on deep learning. Background technique: [0002] With the development of the economy, people pay more and more attention to their own health, and the demand for medical services and health services continues to grow. However, most of my country's medical and health services still remain in the traditional treatment service system. In recent years, deep learning has become a new technological frontier, widely used in image analysis, video analysis, automatic driving and drones and other fields. The current huge contradiction between medical supply and demand has prompted people to apply deep learning technology to the medical field, thus the birth of The "artificial intelligence + medical" technology refers to the artificial intelligence model based on deep learning. After the model parameters are formed by initialization, the marked data is trained, and the model parameters...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/73G16H50/20
CPCG06T7/0012G06T7/73G06T2207/20081G06T2207/20084G06T2207/30088
Inventor 刘青李朋
Owner 济南大象信息技术有限公司
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