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A real-time auxiliary diagnosis system and method for endoscopic retrograde pancreatic duct radiography

A technology for assisting diagnosis and bile duct, applied in the field of image recognition, can solve problems such as the influence of duodenal nipple and the opening of the nipple, affecting the accuracy of disease diagnosis, etc., to save time and energy, improve the success rate of intubation, and improve the accuracy and effectiveness

Inactive Publication Date: 2019-04-05
武汉大学人民医院
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the doctor's map-reading experience and subjective factors have a great influence on the determination of the duodenal papilla and the opening of the papilla.
In addition, after the contrast agent is injected, the pancreas and bile ducts begin to develop, and the doctor observes the lesion. The doctor's experience and status will also affect the accuracy of disease diagnosis

Method used

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  • A real-time auxiliary diagnosis system and method for endoscopic retrograde pancreatic duct radiography
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  • A real-time auxiliary diagnosis system and method for endoscopic retrograde pancreatic duct radiography

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Embodiment Construction

[0018] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0019] please see figure 1 , a real-time auxiliary diagnosis system for endoscopic retrograde cholangiopancreatography provided by the present invention, including a client, a server, a database, and a communication module;

[0020] The client is provided with at least one, which is connected to the ERCP device and is used to obtain the image collected by the current ERCP device, upload the image to the server through the network, and receive and display the analysis results fed back by the server;

[0021] The server is used to use the J2EE architecture to ...

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Abstract

The invention discloses a real-time auxiliary diagnosis system and method for endoscopic retrograde pancreatic duct radiography. The system comprises a client, a server and a database, An ERCP image is collected through a client side, the obtained ERCP image is input into a trained deep learning model to be recognized and classified, and corresponding image information (including duodenal papillaand papilla opening recognition and disease diagnosis) is obtained and fed back to the client side in time. A doctor can be helped to determine the duodenal papilla and the papilla opening position, and the intubation success rate is increased; In addition, doctors can be assisted to diagnose diseases, misdiagnosis and missed diagnosis are prevented, and the diagnosis accuracy and the working efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and relates to an auxiliary diagnosis system and method, in particular to a real-time auxiliary diagnosis system and method for endoscopic retrograde cholangiopancreatography based on deep learning. Background technique [0002] Endoscopic retrograde cholangiopancreatography (ERCP, Endoscopic Retrograde Cholangiopancreatography) is an angiography technique that retrogradely displays the pancreaticobiliary duct by injecting a contrast agent through the duodenal papilla catheter under the endoscope. , obstructive jaundice and other pancreaticobiliary diseases gold standard. Among them, the prerequisite for completing the ERCP examination is to find the duodenal papilla and the opening of the nipple, and successfully intubate, so it is very important to identify the position of the duodenal papilla and the opening of the nipple. However, the doctor's map-reading experience and subjective ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10068G06T2207/30096
Inventor 于红刚张军吴练练胡珊宫德馨
Owner 武汉大学人民医院
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