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Digestive tract focus auxiliary identification and positive feedback system based on cloud platform

A lesion identification and digestive tract technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of low data recognition accuracy, missed and misdiagnosed, and difficult data sharing, so as to improve training speed, improve detection rate, The effect of improving accuracy

Active Publication Date: 2020-05-19
SHANDONG UNIV QILU HOSPITAL +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the analysis and recognition of digestive tract images is often achieved through the doctor's naked eye observation and manual marking of the lesion location. However, since the models and products recognized by artificial intelligence are distributed in multiple departments of many hospitals, the daily The number of digestive endoscopic images is huge, and the data is private data. At the same time, the data needs to be collected in a unified location, which makes data sharing difficult, and the accuracy of data identification is low, which easily leads to missed and misdiagnosed

Method used

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  • Digestive tract focus auxiliary identification and positive feedback system based on cloud platform
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  • Digestive tract focus auxiliary identification and positive feedback system based on cloud platform

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Embodiment 1

[0033] In one or more embodiments, the embodiment of the present invention provides a cloud platform-based auxiliary identification and positive feedback system for gastrointestinal lesions, including:

[0034] (1) The data collection device is configured to collect the image of the digestive tract to be identified and transmit it to the cloud platform;

[0035] Specifically, the doctor collects the image of the digestive tract to be identified through the graphics and text workstation. The graphic workstation is the software for recording the inspection process, and collects the images of the endoscope through the video acquisition card;

[0036] The graphic workstation calls the Web API interface of the cloud platform through the computer network, and submits the digestive tract image to the cloud platform.

[0037] (2) The cloud platform is configured to establish an inference model, construct a training set to optimize the training of the inference model; use the inferenc...

Embodiment 2

[0082] In one or more embodiments, a terminal device is disclosed, which includes a processor and a computer-readable storage medium, the processor is used to implement instructions; the computer-readable storage medium is used to store multiple instructions, refer to figure 2 , the instructions are adapted to be loaded by the processor and perform the following process:

[0083] Collect images of the digestive tract to be identified and send them to the cloud platform;

[0084] The cloud platform establishes an inference model, constructs a training set, and performs optimized training on the inference model; uses the inference model to infer gastrointestinal lesions from the received images, and saves the images and the identification results of gastrointestinal lesions respectively;

[0085] The doctor client can view the inference results online, and mark and correct the inference results;

[0086] Add the error-corrected images to the training set and retrain the infere...

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Abstract

The invention discloses a digestive tract focus auxiliary identification and positive feedback system based on a cloud platform. The digestive tract focus auxiliary identification and positive feedback system comprises a data collection device, a cloud platform, an online error correction module and an online optimization module, wherein the data collection device is configured to collect a to-be-identified digestive tract image and transmit the to-be-identified digestive tract image to the cloud platform; the cloud platform is configured to establish an inference model, construct a training set to perform optimization training on the inference model, utilize the inference model to carry out alimentary canal position and lesion type inference on the received image, and respectively store the image and digestive tract focus identification results; the online error correction module is configured to check an inference result online and mark and correct the wrongly inferred result for a doctor client; and the online optimization module is configured to add a corrected image into the training set and train the inference model again. According to the digestive tract focus auxiliary identification and positive feedback system, the accuracy of digestive tract focus identification can be improved, and the detection rate of digestive system diseases is improved.

Description

technical field [0001] The invention relates to the technical field of cloud platform data processing, in particular to a cloud platform-based auxiliary identification and positive feedback system for digestive tract lesions. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Gastrointestinal diseases are usually judged by obtaining images of the digestive tract through gastrointestinal endoscopy, and then analyzing and identifying the images to determine whether there are lesions. [0004] At present, the analysis and recognition of digestive tract images is often achieved through the doctor's naked eye observation and manual marking of the lesion location. However, since the models and products recognized by artificial intelligence are distributed in multiple departments of many hospitals, the daily The number of digestive endoscopic image...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06N5/04
CPCG06N5/041G06T7/0012G06T2207/20081G06T2207/30096
Inventor 冯建李延青周如琛赖永航左秀丽杨晓云李真邵学军辛伟
Owner SHANDONG UNIV QILU HOSPITAL
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