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Real-time auxiliary system for controllable capsule endoscope operation on the basis of deep learning, and operation method

A capsule endoscopy and deep learning technology, applied in endoscopy, medical science, image data processing, etc., can solve the problems of missing inspection parts and failing to find suspicious areas, so as to avoid missed diagnosis, save time and energy, improve The effect of accuracy and validity

Inactive Publication Date: 2018-10-02
WUHAN ENDOANGEL MEDICAL TECH CO LTD
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Problems solved by technology

It is common for inexperienced doctors to miss inspection sites or fail to find suspicious areas

Method used

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  • Real-time auxiliary system for controllable capsule endoscope operation on the basis of deep learning, and operation method
  • Real-time auxiliary system for controllable capsule endoscope operation on the basis of deep learning, and operation method
  • Real-time auxiliary system for controllable capsule endoscope operation on the basis of deep learning, and operation method

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[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] Such as figure 1 As shown, the deep learning-based controllable capsule endoscope operation real-time assistance system of the embodiment of the present invention includes:

[0035] At least one client is used to monitor and upload the capsule endoscopy images collected by the current capsule endoscopy device through the network, and receive and display the feedback analysis results. Each client includes a communication module and an image demonstration module; among them, the communication module is used to send requests to the server and obtain analysis results from the server, which is s...

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Abstract

The invention discloses a real-time auxiliary system for a controllable capsule endoscope operation on the basis of deep learning, and an operation method. The system comprises at least one client side and a service side, wherein at least one client side is connected with a capsule endoscope, is used for obtaining a capsule endoscope image collected by a current capsule endoscope and uploading thecapsule endoscope image to the service side through a network, and is also used for receiving and displaying an analysis result fed back from the display service side; the service side carries out capsule endoscope image processing according to the capsule endoscope image sent from the client side, judges positions and position characteristics corresponding to the capsule endoscope image in realtime, and feeds back the analysis result to the client side; and the service side comprises a sample database, a convolutional neural network model and a web service module. By use of the system, theimage collected by the controllable capsule endoscope is subjected to blind area monitoring and cancer focus identification and is displayed on the client side, an operation physician is assisted in checking the controllable capsule endoscope, detection accuracy and effectiveness is improved, and a missed diagnosis probability of occurrence is lowered.

Description

technical field [0001] The invention relates to the field of medical detection assistance, in particular to a deep learning-based controllable capsule endoscope operation real-time assistance system and operation method. Background technique [0002] At present, the morbidity and mortality of cancer in Chinese residents continue to rise, and it has become the most important cause of death. Among them, malignant tumors of the digestive tract, such as esophageal cancer, gastric cancer and colon cancer, rank among the top five in terms of mortality. Early detection and early treatment of malignant tumors of the digestive tract are of great significance to improve the survival rate. Therefore, it is necessary to conduct a large-scale general survey. In recent decades, the digestive system endoscopic technology has made great progress, and the screening of early cancer under endoscopy has also been widely carried out. As an invasive examination, the traditional electronic gastro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06T7/00A61B1/04
CPCA61B1/041G06T7/0012G06V10/25
Inventor 于红刚吴练练宫德馨
Owner WUHAN ENDOANGEL MEDICAL TECH CO LTD
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